Publications

2018

  • R. Akrour, A. Abdolmaleki, H. Abdulsamad, J. Peters, and G. Neumann, “Model-Free Trajectory-based Policy Optimization with Monotonic Improvement,” Journal of Machine Learning Research (JMLR), 2018.
    [BibTeX] [Download PDF]
    @article{moto_jmlr18,
    added-at = {2018-06-28T12:56:24.000+0200},
    author = {Akrour, R. and Abdolmaleki, A. and Abdulsamad, H. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/267611294111fcc089a843503bfb11e20/gerineumann},
    crossref = {p11148},
    interhash = {3f677be600711abda1e54fad914e7fa9},
    intrahash = {67611294111fcc089a843503bfb11e20},
    journal = {Journal of Machine Learning Research (JMLR)},
    keywords = {imported},
    timestamp = {2018-06-29T18:50:47.000+0200},
    title = {Model-Free Trajectory-based Policy Optimization with Monotonic Improvement},
    url = {https://www.ias.informatik.tu-darmstadt.de/uploads/Team/RiadAkrour/moto_jmlr18.pdf},
    year = 2018
    }

  • O. Arenz, M. Zhong, and G. Neumann, “Efficient Gradient-Free Variational Inference using Policy Search,” in Proceedings of the International Conference on Machine Learning, 2018.
    [BibTeX] [Download PDF]
    @inproceedings{VIPS_and_supplement,
    added-at = {2018-06-28T12:55:36.000+0200},
    author = {Arenz, O. and Zhong, M. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2b82a0dfe17060b859497bcd1099dc194/gerineumann},
    booktitle = {Proceedings of the International Conference on Machine Learning},
    crossref = {p11147},
    interhash = {7e1e7d618e6ef764ac3aa8e6d39efed3},
    intrahash = {b82a0dfe17060b859497bcd1099dc194},
    key = {variational inference, policy search, sampling},
    keywords = {imported},
    timestamp = {2018-06-28T12:55:36.000+0200},
    title = {Efficient Gradient-Free Variational Inference using Policy Search},
    url = {https://www.ias.informatik.tu-darmstadt.de/uploads/Team/OlegArenz/VIPS_and_supplement.pdf},
    year = 2018
    }

  • K. Elgeneidy, G. Neumann, M. Jackson, and N. Lohse, “Directly Printable Flexible Strain Sensors for Bending and Contact Feedback of Soft Actuators,” Frontiers in Robotics and AI, p. 2, 2018.
    [BibTeX] [Download PDF]
    @article{Elgeneidy2017,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Elgeneidy, K. and Neumann, G. and Jackson, M. and Lohse, N.},
    biburl = {https://www.bibsonomy.org/bibtex/2f090644a8d10f12cd3a630f68423374d/gerineumann},
    interhash = {1169567bb9ddec84127341d7969ae4b2},
    intrahash = {f090644a8d10f12cd3a630f68423374d},
    journal = {Frontiers in Robotics and AI},
    keywords = {imported},
    pages = 2,
    timestamp = {2018-06-29T12:06:15.000+0200},
    title = {Directly Printable Flexible Strain Sensors for Bending and Contact Feedback of Soft Actuators},
    url = {https://www.frontiersin.org/articles/10.3389/frobt.2018.00002/pdf},
    year = 2018
    }

  • G. H. W. Gebhardt, K. Daun, M. Schnaubelt, and G. Neumann, “Learning Robust Policies for Object Manipulation with Robot Swarms,” in Proceedings of the IEEE International Conference on Robotics and Automation, 2018.
    [BibTeX] [Download PDF]
    @inproceedings{Gebhardt2018,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Gebhardt, G.H.W. and Daun, K. and Schnaubelt, M. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/298ae6cab50078e503f9d62118e6b384d/gerineumann},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation},
    crossref = {p11126},
    interhash = {488ae03af58a68ab65575debe8935746},
    intrahash = {98ae6cab50078e503f9d62118e6b384d},
    key = {swarm robotics, policy search, kernel methods, kilobots},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Learning Robust Policies for Object Manipulation with Robot Swarms},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Team/GregorGebhardt/LearningRobustPoliciesForObjectManipulationWithRobotSwarms.pdf},
    year = 2018
    }

  • M. Hüttenrauch, A. Šošić, and G. Neumann, “Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning,” in International Conference on Swarm Intelligence (ANTS), 2018.
    [BibTeX] [Download PDF]
    @inproceedings{huttenrauch2018local,
    added-at = {2018-06-29T12:08:40.000+0200},
    author = {H{\"u}ttenrauch, Maximilian and \v{S}o\v{s}i\'{c}, Adrian and Neumann, Gerhard},
    biburl = {https://www.bibsonomy.org/bibtex/2cc4bd057a1b9af23e42a874f07864da3/gerineumann},
    booktitle = {International Conference on Swarm Intelligence (ANTS)},
    interhash = {0efa19c3dab20befafabdb3184100181},
    intrahash = {cc4bd057a1b9af23e42a874f07864da3},
    keywords = {imported},
    publisher = {Springer International Publishing},
    timestamp = {2018-06-30T14:00:03.000+0200},
    title = {Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning},
    url = {http://computational-learning.net/wp-content/uploads/ants_camera.pdf},
    year = 2018
    }

  • D. Koert, G. Maeda, G. Neumann, and J. Peters, “Learning Coupled Forward-Inverse Models with Combined Prediction Errors,” in Proceedings of the International Conference on Robotics and Automation (ICRA), 2018.
    [BibTeX] [Download PDF]
    @inproceedings{Koert2018,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Koert, D. and Maeda, G. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/25e4f064d6c21ee2e5046131edf3b750a/gerineumann},
    booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
    crossref = {p11131},
    interhash = {6f54841491f7b136b19433cb7cc6f129},
    intrahash = {5e4f064d6c21ee2e5046131edf3b750a},
    key = {3rd-hand,skills4robots},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Learning Coupled Forward-Inverse Models with Combined Prediction Errors},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Team/DorotheaKoert/cfim_final.pdf},
    year = 2018
    }

  • T. Osa, J. Pajarinen, G. Neumann, A. J. Bagnell, P. Abbeel, and J. Peters, “An Algorithmic Perspective on Imitation Learning,” Foundations and Trends in Robotics, vol. 7, iss. 1-2, pp. 1-179, 2018. doi:10.1561/2300000053
    [BibTeX] [Download PDF]
    @article{ImitationLearningSurvey2018,
    added-at = {2018-06-29T18:36:54.000+0200},
    author = {Osa, Takayuki and Pajarinen, Joni and Neumann, Gerhard and Bagnell, J. Andrew and Abbeel, Pieter and Peters, Jan},
    bibsource = {dblp computer science bibliography, https://dblp.org},
    biburl = {https://www.bibsonomy.org/bibtex/239bb8e35d8711cdecac8d43eba2213c2/gerineumann},
    doi = {10.1561/2300000053},
    interhash = {46c508943aacc740b9e0860689d61cd6},
    intrahash = {39bb8e35d8711cdecac8d43eba2213c2},
    journal = {Foundations and Trends in Robotics},
    keywords = {imported},
    number = {1-2},
    pages = {1--179},
    timestamp = {2018-06-29T18:36:54.000+0200},
    title = {An Algorithmic Perspective on Imitation Learning},
    url = {https://doi.org/10.1561/2300000053},
    volume = 7,
    year = 2018
    }

  • R. Pinsler, R. Akrour, T. Osa, J. Peters, and G. Neumann, “Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2018.
    [BibTeX] [Download PDF]
    @inproceedings{Pinsler2018,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Pinsler, R. and Akrour, R. and Osa, T. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/29858bbce976829b1a296a4f2819ad4b9/gerineumann},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    crossref = {p11125},
    interhash = {6f8b48483639059a56763bb39415a41a},
    intrahash = {9858bbce976829b1a296a4f2819ad4b9},
    key = {ias},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Team/RiadAkrour/icra18_robert.pdf},
    year = 2018
    }

2017

  • A. A., B. Price, and G. Neumann, “Deriving and Improving CMA-ES with Information Geometric Trust Regions,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2017.
    [BibTeX]
    @inproceedings{Abdolmaleki2017,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {A., Abdolmaleki and Price, Bob and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2f8900ba638bd4fb971bdb60901dca9b5/gerineumann},
    booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)},
    interhash = {96d9152ff1026854c1b77864901cb7e6},
    intrahash = {f8900ba638bd4fb971bdb60901dca9b5},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Deriving and Improving CMA-ES with Information Geometric Trust Regions},
    year = 2017
    }

  • A. Abdolmaleki, B. Price, N. Lau, P. Reis, and G. Neumann, “Contextual CMA-ES,” in International Joint Conference on Artificial Intelligence (IJCAI), 2017.
    [BibTeX] [Download PDF]
    @inproceedings{Abdolmaleki2017a,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Abdolmaleki, A. and Price, B. and Lau, N. and Reis, P. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/24b28a131dda9c3c1e4b0b66e8ee290c7/gerineumann},
    booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
    crossref = {p11058},
    interhash = {fa698f2a93b1741a45e7f0084371c746},
    intrahash = {4b28a131dda9c3c1e4b0b66e8ee290c7},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Contextual CMA-ES},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/Abdolmaleki_IJCA2017.pdf},
    year = 2017
    }

  • H. Abdulsamad, O. Arenz, J. Peters, and G. Neumann, “State-Regularized Policy Search for Linearized Dynamical Systems,” in Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2017.
    [BibTeX] [Download PDF]
    @inproceedings{Abdulsamad2017,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Abdulsamad, H. and Arenz, O. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2b3de1c858c7d95e9219e03245437d0c7/gerineumann},
    booktitle = {Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS)},
    crossref = {p11043},
    interhash = {0092c1eaff75a6ab53a2cdb73d4bf6cb},
    intrahash = {b3de1c858c7d95e9219e03245437d0c7},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {State-Regularized Policy Search for Linearized Dynamical Systems},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/Abdulsamad_ICAPS_2017},
    year = 2017
    }

  • F. End, R. Akrour, J. Peters, and G. Neumann, “Layered Direct Policy Search for Learning Hierarchical Skills,” in Proceedings of the International Conference on Robotics and Automation (ICRA), 2017.
    [BibTeX]
    @inproceedings{End2017,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {End, F. and Akrour, R. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/26e0269aec0cf54b5b27347d65dbd4fb2/gerineumann},
    booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
    interhash = {96d3a4b3408b36197095fe15489a54b9},
    intrahash = {6e0269aec0cf54b5b27347d65dbd4fb2},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Layered Direct Policy Search for Learning Hierarchical Skills},
    year = 2017
    }

  • F. B. Farraj, T. Osa, N. Pedemonte, J. Peters, G. Neumann, and P. R. Giordano, “A Learning-based Shared Control Architecture for Interactive Task Execution,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2017.
    [BibTeX] [Download PDF]
    @inproceedings{Farraj2017,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Farraj, F. B. and Osa, T. and Pedemonte, N. and Peters, J. and Neumann, G. and Giordano, P.R.},
    biburl = {https://www.bibsonomy.org/bibtex/2b8aca1777151a19f30b373632cf694fd/gerineumann},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    crossref = {p11032},
    interhash = {ea0bb940e21b8eb7f73fb854be692c4c},
    intrahash = {b8aca1777151a19f30b373632cf694fd},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {A Learning-based Shared Control Architecture for Interactive Task Execution},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/firas_ICRA17.pdf},
    year = 2017
    }

  • A. Gabriel, R. Akrour, J. Peters, and G. Neumann, “Empowered Skills,” in Proceedings of the International Conference on Robotics and Automation (ICRA), 2017.
    [BibTeX]
    @inproceedings{Gabriel2017,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Gabriel, A. and Akrour, R. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2a66b86f2a281253b2902c46a809ab070/gerineumann},
    booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
    interhash = {8e62cc1aefe4f5b7000bd139248a2737},
    intrahash = {a66b86f2a281253b2902c46a809ab070},
    key = {ias},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Empowered Skills},
    year = 2017
    }

  • G. H. W. Gebhardt, A. Kupcsik, and G. Neumann, “The Kernel Kalman Rule – Efficient Nonparametric Inference with Recursive Least Squares,” in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017.
    [BibTeX]
    @inproceedings{Gebhardt2017,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Gebhardt, G. H. W. and Kupcsik, A. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/21b581834a93acc93d0ed9fe499f89b05/gerineumann},
    booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence},
    interhash = {6a46c036104e11c76a47be4c94032344},
    intrahash = {1b581834a93acc93d0ed9fe499f89b05},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares},
    year = 2017
    }

  • H. van Hoof, G. Neumann, and J. Peters, “Non-parametric Policy Search with Limited Information Loss,” Journal of Machine Learning Research (JMLR), iss. 73, pp. 1-46, 2017.
    [BibTeX] [Download PDF]
    @article{vanHoof2017,
    added-at = {2018-06-28T12:52:43.000+0200},
    author = {van Hoof, H. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2c8d5783b04402404e4b0ab59965039c7/gerineumann},
    crossref = {p11080},
    interhash = {f4e91e54f4a6d68d44faa14f46a4a6d7},
    intrahash = {c8d5783b04402404e4b0ab59965039c7},
    journal = {Journal of Machine Learning Research (JMLR)},
    key = {tacman, reinforcement learning},
    keywords = {imported},
    number = 73,
    pages = {1-46},
    timestamp = {2018-06-28T12:52:43.000+0200},
    title = {Non-parametric Policy Search with Limited Information Loss},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Alumni/HerkeVanHoof/vanHoof_JMLR_2017.pdf},
    year = 2017
    }

  • R. Lioutikov, G. Neumann, G. Maeda, and J. Peters, “Learning Movement Primitive Libraries through Probabilistic Segmentation,” International Journal of Robotics Research (IJRR), 2017.
    [BibTeX] [Download PDF]
    @article{Lioutikov2017,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Lioutikov, R. and Neumann, G. and Maeda, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/29edb6a3eca356aa86151c2f69b55bb28/gerineumann},
    crossref = {p11056},
    interhash = {974bdce9522d66f3531f38660310c917},
    intrahash = {9edb6a3eca356aa86151c2f69b55bb28},
    journal = {International Journal of Robotics Research (IJRR)},
    key = {3rd-hand},
    keywords = {imported},
    timestamp = {2018-06-22T13:50:14.000+0200},
    title = {Learning Movement Primitive Libraries through Probabilistic Segmentation},
    url = {/brokenurl#/uploads/Publications/lioutikov_probs_ijrr2017.pdf},
    year = 2017
    }

  • G. Maeda, M. Ewerton, G. Neumann, R. Lioutikov, and J. Peters, “Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration,” International Journal of Robotics Research (IJRR), 2017.
    [BibTeX]
    @article{Maeda2017,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Maeda, G. and Ewerton, M. and Neumann, G. and Lioutikov, R. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2e42468fc2e78d8d6e3e7f1902c944a72/gerineumann},
    interhash = {8f5f80382ad77405d879dc9574fc492a},
    intrahash = {e42468fc2e78d8d6e3e7f1902c944a72},
    journal = {International Journal of Robotics Research (IJRR)},
    keywords = {imported},
    timestamp = {2018-06-22T13:50:14.000+0200},
    title = {Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration},
    year = 2017
    }

  • T. Osa, E. A. M. Ghalamzan, R. Stolkin, R. Lioutikov, J. Peters, and G. Neumann, “Guiding Trajectory Optimization by Demonstrated Distributions,” IEEE Robotics and Automation Letters (RA-L), iss. 2, pp. 819-826, 2017.
    [BibTeX]
    @article{Osa2017,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Osa, T. and Ghalamzan, E. A. M. and Stolkin, R. and Lioutikov, R. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2c2caf967e2200b6744cb59173c7968e0/gerineumann},
    interhash = {595c13cc8fd0a20878d5209262aa1eaf},
    intrahash = {c2caf967e2200b6744cb59173c7968e0},
    journal = {IEEE Robotics and Automation Letters (RA-L)},
    keywords = {imported},
    number = 2,
    pages = {819-826},
    publisher = {ieee},
    timestamp = {2018-06-22T13:50:14.000+0200},
    title = {Guiding Trajectory Optimization by Demonstrated Distributions},
    year = 2017
    }

  • J. Pajarinen, V. Kyrki, M. Koval, S. Srinivasa, J. Peters, and G. Neumann, “Hybrid Control Trajectory Optimization under Uncertainty,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
    [BibTeX] [Download PDF]
    @inproceedings{Pajarinen2017,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Pajarinen, J. and Kyrki, V. and Koval, M. and Srinivasa, S and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/23487929366b27ee519bb454a686ecc14/gerineumann},
    booktitle = {Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    crossref = {p11072},
    interhash = {32d5d95c4684c0f92279c2574d6fb353},
    intrahash = {3487929366b27ee519bb454a686ecc14},
    key = {romans},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Hybrid Control Trajectory Optimization under Uncertainty},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/pajarinen_iros_2017.pdf},
    year = 2017
    }

  • A. Paraschos, C. Daniel, J. Peters, and G. Neumann, “Using Probabilistic Movement Primitives in Robotics,” Autonomous Robots (AURO), 2017.
    [BibTeX] [Download PDF]
    @article{Paraschos2017,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Paraschos, A. and Daniel, C. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2881c0c47948d761ebf8ac142a565dd39/gerineumann},
    crossref = {p11077},
    interhash = {a3fa6df35c7566515e2ad7b5c2cad9b1},
    intrahash = {881c0c47948d761ebf8ac142a565dd39},
    journal = {Autonomous Robots (AURO)},
    keywords = {imported},
    timestamp = {2018-06-28T12:54:56.000+0200},
    title = {Using Probabilistic Movement Primitives in Robotics},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Team/AlexandrosParaschos/promps_auro.pdf},
    year = 2017
    }

  • A. Paraschos, R. Lioutikov, J. Peters, and G. Neumann, “Probabilistic Prioritization of Movement Primitives,” Proceedings of the International Conference on Intelligent Robot Systems, and IEEE Robotics and Automation Letters (RA-L), 2017.
    [BibTeX] [Download PDF]
    @article{Paraschos2017a,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Paraschos, A. and Lioutikov, R. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2f2c8960a2258874861d3945378b18db0/gerineumann},
    crossref = {p11075},
    interhash = {c50f6d3a5d321880c2f08cfe0bbed88e},
    intrahash = {f2c8960a2258874861d3945378b18db0},
    journal = {Proceedings of the International Conference on Intelligent Robot Systems, and IEEE Robotics and Automation Letters (RA-L)},
    key = {codyco},
    keywords = {imported},
    timestamp = {2018-06-22T13:50:14.000+0200},
    title = {Probabilistic Prioritization of Movement Primitives},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Team/AlexandrosParaschos/paraschos_prob_prio.pdf},
    year = 2017
    }

  • A. R., S. D., P. J., and G. Neumann, “Local Bayesian Optimization of Motor Skills,” in International Conference on Machine Learning (ICML), 2017.
    [BibTeX]
    @inproceedings{Akrour2017,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {R., Akrour and D., Sorokin and J., Peters and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/212d65b5e763c8247d6f1f758b3bd8796/gerineumann},
    booktitle = {International Conference on Machine Learning (ICML)},
    interhash = {80fe914b5ca183784d25d3a3fcd97158},
    intrahash = {12d65b5e763c8247d6f1f758b3bd8796},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = { Local Bayesian Optimization of Motor Skills},
    year = 2017
    }

  • V. Tangkaratt, H. van Hoof, S. Parisi, G. Neumann, J. Peters, and M. Sugiyama, “Policy Search with High-Dimensional Context Variables,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2017.
    [BibTeX] [Download PDF]
    @inproceedings{Tangkaratt2017,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Tangkaratt, V. and van Hoof, H. and Parisi, S. and Neumann, G. and Peters, J. and Sugiyama, M.},
    biburl = {https://www.bibsonomy.org/bibtex/2ee8d289e146e1a32cc5bc391b14f75cf/gerineumann},
    booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
    crossref = {p11001},
    interhash = {0ce80dd7861c238bf7c522bda52880e4},
    intrahash = {ee8d289e146e1a32cc5bc391b14f75cf},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Policy Search with High-Dimensional Context Variables},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/tangkaratt2017policy.pdf},
    year = 2017
    }

  • C. Wirth, R. Akrour, J. Fürnkranz, and G. Neumann, “A Survey of Preference-Based Reinforcement Learning Methods,” , 2017.
    [BibTeX] [Download PDF]
    @article{Wirth2017,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Wirth, C. and Akrour, R. and Fürnkranz, J. and Neumann, G},
    biburl = {https://www.bibsonomy.org/bibtex/23fdceb16a750f70a5fea5649d8f775c0/gerineumann},
    booktitle = {Journal of Machine Learning Research (JMLR)},
    crossref = {p11059},
    interhash = {93449923ebbc97995d55e161499f285d},
    intrahash = {3fdceb16a750f70a5fea5649d8f775c0},
    keywords = {imported},
    timestamp = {2018-06-22T13:50:14.000+0200},
    title = {A Survey of Preference-Based Reinforcement Learning Methods},
    url = {http://jmlr.org/papers/volume18/16-634/16-634.pdf},
    year = 2017
    }

2016

  • A. Abdolmaleki, N. Lau, L. Reis, J. Peters, and G. Neumann, “Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller,” Journal of Intelligent & Robotic Systems, 2016.
    [BibTeX] [Download PDF]
    @article{Abdolmaleki2016a,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Abdolmaleki, A. and Lau, N. and Reis, L. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2e9943a821709049bf5371791a911fd17/gerineumann},
    crossref = {p10935},
    interhash = {23ce1ccc42e2558c7a996f7bcf89f5ed},
    intrahash = {e9943a821709049bf5371791a911fd17},
    journal = {Journal of Intelligent \& Robotic Systems},
    keywords = {imported},
    timestamp = {2018-06-22T13:50:14.000+0200},
    title = {Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller},
    url = {http://download.springer.com/static/pdf/812/art%253A10.1007%252Fs10846-016-0347-y.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs10846-016-0347-y&token2=exp=1456995635~acl=%2Fstatic%2Fpdf%2F812%2Fart%25253A10.1007%25252Fs10846-016-034},
    year = 2016
    }

  • A. Abdolmaleki, N. Lau, L. Reis, and G. Neumann, “Non-Parametric Contextual Stochastic Search,” in Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2016.
    [BibTeX]
    @inproceedings{Abdolmaleki2016,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Abdolmaleki, A and Lau, N. and Reis, L. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2ee610c2aae8d5a6e37d1cbbd3b4a9caf/gerineumann},
    booktitle = {Proceedings of the International Conference on Intelligent Robots and Systems (IROS)},
    crossref = {p10992},
    interhash = {f8faf37ecb3f9c284770f1e9addb8818},
    intrahash = {ee610c2aae8d5a6e37d1cbbd3b4a9caf},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Non-Parametric Contextual Stochastic Search},
    year = 2016
    }

  • R. Akrour, A. Abdolmaleki, H. Abdulsamad, and G. Neumann, “Model-Free Trajectory Optimization for Reinforcement Learning,” in Proceedings of the International Conference on Machine Learning (ICML), 2016.
    [BibTeX] [Download PDF]
    @inproceedings{Akrour2016,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Akrour, R. and Abdolmaleki, A. and Abdulsamad, H. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2cafbabc729a63c9ab9ee8b50209bca6c/gerineumann},
    booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
    crossref = {p10944},
    interhash = {4d22f7b3bb7eee84a8c88c8f35aa2c67},
    intrahash = {cafbabc729a63c9ab9ee8b50209bca6c},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Model-Free Trajectory Optimization for Reinforcement Learning},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/full_moto_16.pdf},
    year = 2016
    }

  • O. Arenz, H. Abdulsamad, and G. Neumann, “Optimal Control and Inverse Optimal Control by Distribution Matching,” in Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2016.
    [BibTeX] [Download PDF]
    @inproceedings{Arenz2016,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Arenz, O. and Abdulsamad, H. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2b55190ecdc10cc3e4af1e27a5ea08d26/gerineumann},
    booktitle = {Proceedings of the International Conference on Intelligent Robots and Systems (IROS)},
    crossref = {p10968},
    interhash = {9205d7e446a4ee9a6168a2d4cda921ee},
    intrahash = {b55190ecdc10cc3e4af1e27a5ea08d26},
    key = {imitation learning, inverse optimal control, optimal control},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Optimal Control and Inverse Optimal Control by Distribution Matching},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Team/OlegArenz/OC and IOC By Matching Distributions_withSupplements.pdf},
    year = 2016
    }

  • B. Belousov, G. Neumann, C. Rothkopf, and J. Peters, “Catching heuristics are optimal control policies,” in Advances in Neural Information Processing Systems (NIPS), 2016.
    [BibTeX] [Download PDF]
    @inproceedings{Belousov2016,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Belousov, B. and Neumann, G. and Rothkopf, C. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/28b7a51d7b73519edc4441b3e3863cf1d/gerineumann},
    booktitle = {Advances in Neural Information Processing Systems (NIPS)},
    crossref = {p10969},
    interhash = {309b34513e180cf6e3707633c9fb1832},
    intrahash = {8b7a51d7b73519edc4441b3e3863cf1d},
    key = {skills4robots},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Catching heuristics are optimal control policies},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/Belousov_ANIPS_2016.pdf},
    year = 2016
    }

  • C. Daniel, H. van Hoof, J. Peters, and G. Neumann, “Probabilistic Inference for Determining Options in Reinforcement Learning,” Machine Learning (ML), iss. 2-3, pp. 337-357, 2016.
    [BibTeX] [Download PDF]
    @article{Daniel2016a,
    added-at = {2018-06-22T13:55:27.000+0200},
    author = {Daniel, C. and van Hoof, H. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/209251deccd49c11c9c2e3d8ba82b2d7c/gerineumann},
    interhash = {1d5ce0c0c7ddf0858be4e8180ee6d088},
    intrahash = {09251deccd49c11c9c2e3d8ba82b2d7c},
    journal = {Machine Learning (ML),
    Crossref = {p10955},
    Url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/Daniel2016ECML.pdf}
    },
    keywords = {imported},
    number = {2-3},
    pages = {337-357},
    timestamp = {2018-06-22T13:55:39.000+0200},
    title = {Probabilistic Inference for Determining Options in Reinforcement Learning},
    year = 2016
    }

  • C. Daniel, H. van Hoof, J. Peters, and G. Neumann, “Probabilistic Inference for Determining Options in Reinforcement Learning,” Machine Learning, iss. 2-3, pp. 337-357, 2016.
    [BibTeX]
    @article{Daniel2016a,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Daniel, C. and van Hoof, H. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/258138c15c3cb5937f646ba6a6c82aeb6/gerineumann},
    interhash = {1d5ce0c0c7ddf0858be4e8180ee6d088},
    intrahash = {58138c15c3cb5937f646ba6a6c82aeb6},
    journal = {Machine Learning},
    keywords = {imported},
    number = {2-3},
    pages = {337-357},
    timestamp = {2018-06-22T13:53:15.000+0200},
    title = {Probabilistic Inference for Determining Options in Reinforcement Learning},
    year = 2016
    }

  • C. Daniel, G. Neumann, O. Kroemer, and J. Peters, “Hierarchical Relative Entropy Policy Search,” Journal of Machine Learning (JMLR), 2016.
    [BibTeX] [Download PDF]
    @article{Daniel2016,
    added-at = {2018-06-22T13:50:14.000+0200},
    author = {Daniel, C. and Neumann, G. and Kroemer, O. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/25df7e403f4120f570223e2be5f62e82c/gerineumann},
    crossref = {p10920},
    interhash = {01ace2631c3cab89ab089b20ccb29fc3},
    intrahash = {5df7e403f4120f570223e2be5f62e82c},
    journal = {Journal of Machine Learning (JMLR)},
    keywords = {imported},
    timestamp = {2018-06-22T13:50:14.000+0200},
    title = { Hierarchical Relative Entropy Policy Search},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/Daniel2016JMLR.pdf},
    year = 2016
    }

  • M. Ewerton, G. Maeda, G. Neumann, V. Kisner, G. Kollegger, J. Wiemeyer, and J. Peters, “Movement Primitives with Multiple Phase Parameters,” in Proceedings of the International Conference on Robotics and Automation (ICRA), 2016.
    [BibTeX] [Download PDF]
    @inproceedings{Ewerton2016,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Ewerton, M. and Maeda, G. and Neumann, G. and Kisner, V. and Kollegger, G. and Wiemeyer, J. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/271bdae7e5af3162857b2507a544f1864/gerineumann},
    booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
    crossref = {p10902},
    interhash = {87a723aeb0d9f27dc74cf0c24f828117},
    intrahash = {71bdae7e5af3162857b2507a544f1864},
    key = {bimrob, 3rd-hand},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Movement Primitives with Multiple Phase Parameters},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Team/MarcoEwerton/ewerton_icra_2016_stockholm.pdf},
    year = 2016
    }

  • S. Gomez-Gonzalez, G. Neumann, B. Schoelkopf, and J. Peters, “Using Probabilistic Movement Primitives for Striking Movements,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.
    [BibTeX]
    @inproceedings{Gomez-Gonzalez2016,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Gomez-Gonzalez, S. and Neumann, G. and Schoelkopf, B. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2bf6a6ad348e8c4b16b6dede34512be86/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    crossref = {p10983},
    interhash = {0020a4f9502f1e1ddbf1c74b75ca1e90},
    intrahash = {bf6a6ad348e8c4b16b6dede34512be86},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Using Probabilistic Movement Primitives for Striking Movements},
    year = 2016
    }

  • D. Koert, G. J. Maeda, R. Lioutikov, G. Neumann, and J. Peters, “Demonstration Based Trajectory Optimization for Generalizable Robot Motions,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.
    [BibTeX] [Download PDF]
    @inproceedings{Koert2016,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Koert, D. and Maeda, G.J. and Lioutikov, R. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2e71e856aacf99b4a411abf0ce029739e/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    crossref = {p10982},
    interhash = {bbfc23652ba19376bc17b2e6864f1fa7},
    intrahash = {e71e856aacf99b4a411abf0ce029739e},
    key = {3rd-hand,skills4robots},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Demonstration Based Trajectory Optimization for Generalizable Robot Motions},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/koertHumanoids2016},
    year = 2016
    }

  • V. Modugno, G. Neumann, E. Rueckert, G. Oriolo, J. Peters, and S. Ivaldi, “Learning soft task priorities for control of redundant robots,” in Proceedings of the International Conference on Robotics and Automation (ICRA), 2016.
    [BibTeX]
    @inproceedings{Modugno2016,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Modugno, V. and Neumann, G. and Rueckert, E. and Oriolo, G. and Peters, J. and Ivaldi, S.},
    biburl = {https://www.bibsonomy.org/bibtex/252703139b213695f0fb58e6d9f2a611c/gerineumann},
    booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
    crossref = {p10900},
    interhash = {d0bfa1b6c28afbea26833374672cfac9},
    intrahash = {52703139b213695f0fb58e6d9f2a611c},
    key = {codyco},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Learning soft task priorities for control of redundant robots},
    year = 2016
    }

  • T. Osa, J. Peters, and G. Neumann, “Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies,” in Proceedings of the International Symposium on Experimental Robotics (ISER), 2016.
    [BibTeX]
    @inproceedings{Osa2016,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Osa, T. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2521a1f0233aaefc89021740b6b3c06b9/gerineumann},
    booktitle = {Proceedings of the International Symposium on Experimental Robotics (ISER)},
    crossref = {p10950},
    interhash = {32b81b8feb5e1cbe35b2e814d5b30763},
    intrahash = {521a1f0233aaefc89021740b6b3c06b9},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies},
    year = 2016
    }

2015

  • A. Abdolemaleki, N. Nau, L. Reis, and G. Neumann, “Regularized Covariance Estimation for Weighted Maximum Likelihood Policy Search Methods,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2015.
    [BibTeX]
    @inproceedings{Abdolemaleki2015a,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Abdolemaleki, A. and Nau, N. and Reis, L. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2c39acc3532364d0763a28c66f90f9c43/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    interhash = {a92994cdd7f708884a62929b0ca3f9d8},
    intrahash = {c39acc3532364d0763a28c66f90f9c43},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = { Regularized Covariance Estimation for Weighted Maximum Likelihood Policy Search Methods},
    year = 2015
    }

  • A. Abdolemaleki, R. Lioutikov, J. Peters, N. Nau, L. Reis, and G. Neumann, “Model-based Relative Entropy Stochastic Serarch,” in Advances in Neural Information Processing Systems (NIPS), 2015.
    [BibTeX]
    @inproceedings{Abdolemaleki2015,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Abdolemaleki, A. and Lioutikov, R. and Peters, J. and Nau, N. and Reis, L. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/28e55544ddb133bf9865aca7add7b106c/gerineumann},
    booktitle = {Advances in Neural Information Processing Systems (NIPS)},
    interhash = {c0f5cd6c4036a3e2c63e53dd507e4d4c},
    intrahash = {8e55544ddb133bf9865aca7add7b106c},
    keywords = {imported},
    owner = {neumann},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Model-based Relative Entropy Stochastic Serarch},
    year = 2015
    }

  • M. Ewerton, G. Neumann, R. Lioutikov, H. Ben Amor, J. Peters, and G. Maeda, “Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives,” in Proceedings of the International Conference on Robotics and Automation (ICRA), 2015, pp. 1535-1542.
    [BibTeX] [Download PDF]
    @inproceedings{Ewerton2015,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Ewerton, M. and Neumann, G. and Lioutikov, R. and Ben Amor, H. and Peters, J. and Maeda, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2b5e5e75bb142aa666010817baacc2f50/gerineumann},
    booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
    crossref = {p10797},
    interhash = {3d5b3bbdf5605ea31bfdf69200ea2b00},
    intrahash = {b5e5e75bb142aa666010817baacc2f50},
    key = {3rd-hand, complacs, bimrob},
    keywords = {imported},
    pages = {1535--1542},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Team/MarcoEwerton/ewerton_icra_2015_seattle.pdf},
    year = 2015
    }

  • M. Ewerton, G. Maeda, J. Peters, and G. Neumann, “Learning Motor Skills from Partially Observed Movements Executed at Different Speeds,” in IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2015.
    [BibTeX]
    @inproceedings{Ewerton2015a,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Ewerton, M. and Maeda, G. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/247c5ede7ae96f70d9e25f20eee9e1590/gerineumann},
    booktitle = {IEEE/RSJ Conference on Intelligent Robots and Systems (IROS)},
    interhash = {5208ac39e5a70b2231474e20536817cd},
    intrahash = {47c5ede7ae96f70d9e25f20eee9e1590},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Learning Motor Skills from Partially Observed Movements Executed at Different Speeds},
    year = 2015
    }

  • H. Hoof, T. Hermans, G. Neumann, and J. Peters, “Learning Robot In-Hand Manipulation with Tactile Features,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2015.
    [BibTeX]
    @inproceedings{Hoof2015a,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Hoof, H. and Hermans, T. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2153f143a826f146af915e3d13fbccc6b/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    interhash = {de2d624b16148729f6f1b0a8badf5e42},
    intrahash = {153f143a826f146af915e3d13fbccc6b},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Learning Robot In-Hand Manipulation with Tactile Features},
    year = 2015
    }

  • H. van Hoof, J. Peters, and G. Neumann, “Learning of Non-Parametric Control Policies with High-Dimensional State Features,” in Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2015.
    [BibTeX] [Download PDF]
    @inproceedings{Hoof2015,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {van Hoof, H. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/29ad9fcd4a393ea41cf011c05a08341ee/gerineumann},
    booktitle = {Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)},
    crossref = {p10793},
    interhash = {3d5da4ce2c07f8b9017aa1120ad77761},
    intrahash = {9ad9fcd4a393ea41cf011c05a08341ee},
    key = {tacman},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Learning of Non-Parametric Control Policies with High-Dimensional State Features},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/aistats2015hoof.pdf},
    year = 2015
    }

  • O. Koc, G. Maeda, G. Neumann, and J. Peters, “Optimizing Robot Striking Movement Primitives with Iterative Learning Control,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2015.
    [BibTeX]
    @inproceedings{Koc2015,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Koc, O. and Maeda, G. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/263b5756fd84123267a4c38392ed884d3/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    interhash = {cea78097d780cc33b16d3623a0372375},
    intrahash = {63b5756fd84123267a4c38392ed884d3},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = { Optimizing Robot Striking Movement Primitives with Iterative Learning Control},
    year = 2015
    }

  • O. Kroemer, C. Daniel, G. Neumann, H. van Hoof, and J. Peters, “Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks,” in Proceedings of the International Conference on Robotics and Automation (ICRA), 2015.
    [BibTeX] [Download PDF]
    @inproceedings{Kroemer2015,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Kroemer, O. and Daniel, C. and Neumann, G. and van Hoof, H. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/204ebc2469550c8b6467ee71af459d5ea/gerineumann},
    booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
    crossref = {p10795},
    interhash = {e39a852c23ec00df7523bc1838ebbbdc},
    intrahash = {04ebc2469550c8b6467ee71af459d5ea},
    key = {3rd-hand, 3rdhand},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/KroemerICRA15.pdf},
    year = 2015
    }

  • A. Kupcsik, M. P. Deisenroth, J. Peters, and G. Neumann, “Model-Based Contextual Policy Search for Data-Efficient Generalization of Robot Skills,” Journal of Artificial Intelligence, 2015.
    [BibTeX]
    @article{Kupcsik2015,
    added-at = {2018-06-22T13:55:27.000+0200},
    author = {Kupcsik, A. and Deisenroth, M. P. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2a567f9e04d61eb81e87eb3f6cdf89127/gerineumann},
    interhash = {d933de442b64cc000907f719295f29ba},
    intrahash = {a567f9e04d61eb81e87eb3f6cdf89127},
    journal = {Journal of Artificial Intelligence},
    keywords = {imported},
    owner = {neumann},
    timestamp = {2018-06-22T13:55:39.000+0200},
    title = {Model-Based Contextual Policy Search for Data-Efficient Generalization of Robot Skills},
    year = 2015
    }

  • R. Lioutikov, G. Neumann, G. Maeda, and J. Peters, “Probabilistic Segmentation Applied to an Assembly Task,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2015.
    [BibTeX]
    @inproceedings{Lioutikov2015,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Lioutikov, R. and Neumann, G. and Maeda, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/28f594477409a36cac30c2f938696d97f/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    interhash = {a356640cc761f9a82541626b067125b0},
    intrahash = {8f594477409a36cac30c2f938696d97f},
    keywords = {imported},
    owner = {neumann},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Probabilistic Segmentation Applied to an Assembly Task},
    year = 2015
    }

  • G. Maeda, G. Neumann, M. Ewerton, R. Lioutikov, and J. Peters, “A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation,” in Proceedings of the International Symposium of Robotics Research (ISRR), 2015.
    [BibTeX]
    @inproceedings{Maeda2015,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Maeda, G. and Neumann, G. and Ewerton, M. and Lioutikov, R. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2b94904f2b62b90d50de57b67031933c5/gerineumann},
    booktitle = {Proceedings of the International Symposium of Robotics Research (ISRR)},
    interhash = {cca62d504f3b3d120005505e29f08dfb},
    intrahash = {b94904f2b62b90d50de57b67031933c5},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation},
    year = 2015
    }

  • A. Paraschos, E. Rueckert, J. Peters, and G. Neumann, “Model-Free Probabilistic Movement Primitives for Physical Interaction,” in IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2015.
    [BibTeX]
    @inproceedings{Paraschos2015,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Paraschos, A. and Rueckert, E. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/230db6e7753fcc34d65385f3ea9cbad1c/gerineumann},
    booktitle = {IEEE/RSJ Conference on Intelligent Robots and Systems (IROS)},
    interhash = {d7d06aca2a058c8461505cc624f4641a},
    intrahash = {30db6e7753fcc34d65385f3ea9cbad1c},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = { Model-Free Probabilistic Movement Primitives for Physical Interaction},
    year = 2015
    }

  • E. Rueckert, J. Mundo, A. Paraschos, J. Peters, and G. Neumann, “Extracting Low-Dimensional Control Variables for Movement Primitives,” in Proceedings of the International Conference on Robotics and Automation (ICRA), 2015.
    [BibTeX] [Download PDF]
    @inproceedings{Rueckert2015,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Rueckert, E. and Mundo, J. and Paraschos, A. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/22a2323d96d45c661c4911249b536ba46/gerineumann},
    booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
    crossref = {p10796},
    interhash = {352f5068a6b436a354041ae8f9cee5e5},
    intrahash = {2a2323d96d45c661c4911249b536ba46},
    key = {3rdhand, codyco},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Extracting Low-Dimensional Control Variables for Movement Primitives},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication/Rueckert_ICRA14LMProMPsFinal.pdf},
    year = 2015
    }

  • C. Wirth, J. Fürnkranz, and G. Neumann, “Model-Free Preference-Based Reinforcement Learning,” in Conference on Artificial Intelligence (AAAI), 2015.
    [BibTeX]
    @inproceedings{Wirth2015,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Wirth, C. and Fürnkranz, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2d9d5fa13698fe4565aa8057481bf119a/gerineumann},
    booktitle = {{Conference on Artificial Intelligence (AAAI)}},
    interhash = {b367f3ec63e192152903889829856e48},
    intrahash = {d9d5fa13698fe4565aa8057481bf119a},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Model-Free Preference-Based Reinforcement Learning},
    year = 2015
    }

2014

  • H. Ben Amor, G. Neumann, S. Kamthe, O. Kroemer, and J. Peters, “Interaction Primitives for Human-Robot Cooperation Tasks,” in Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014.
    [BibTeX]
    @inproceedings{BenAmor2014,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Ben Amor, H. and Neumann, G. and Kamthe, S. and Kroemer, O. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/27914d5465743051c490c95c3bc5b0f6d/gerineumann},
    booktitle = {Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA)},
    interhash = {05e71788995378067070d86c92b640c5},
    intrahash = {7914d5465743051c490c95c3bc5b0f6d},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Interaction Primitives for Human-Robot Cooperation Tasks },
    year = 2014
    }

  • A. Colome, G. Neumann, J. Peters, and C. Torras, “Dimensionality Reduction for Probabilistic Movement Primitives,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2014.
    [BibTeX] [Download PDF]
    @inproceedings{Colome2014,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Colome, A. and Neumann, G. and Peters, J. and Torras, C.},
    biburl = {https://www.bibsonomy.org/bibtex/25cb4cc49cb09161b88bc304e03f73586/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    crossref = {p10767},
    interhash = {9d1cd82d4965578c88226145855556cd},
    intrahash = {5cb4cc49cb09161b88bc304e03f73586},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Dimensionality Reduction for Probabilistic Movement Primitives},
    url = {http://www.ias.tu-darmstadt.de/uploads/Publications/Colome_Humanoids_2014.pdf},
    year = 2014
    }

  • C. Dann, G. Neumann, and J. Peters, “Policy Evaluation with Temporal Differences: A Survey and Comparison,” Journal of Machine Learning Research, 2014.
    [BibTeX]
    @article{Dann2014,
    added-at = {2018-06-22T13:55:27.000+0200},
    author = {Dann, C. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2832491c24c47945906a4246c7f898dc0/gerineumann},
    interhash = {5784ea2a97b6844db5b36bcd7851e25b},
    intrahash = {832491c24c47945906a4246c7f898dc0},
    journal = {Journal of Machine Learning Research},
    keywords = {imported},
    timestamp = {2018-06-22T13:55:39.000+0200},
    title = {Policy Evaluation with Temporal Differences: A Survey and Comparison},
    year = 2014
    }

  • V. Gomez, B. Kappen, J. Peters, and G. Neumann, “Information-Theoretic Policy Search for Path Integral Control,” European Conference on Machine Learning (ECML), 2014.
    [BibTeX]
    @article{Gomez2014,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Gomez, V. and Kappen, B. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2d973c1cfc693257be94a1bce6c0ff5d9/gerineumann},
    interhash = {7d117274af7c00d168c4a1c31c0cdff1},
    intrahash = {d973c1cfc693257be94a1bce6c0ff5d9},
    journal = {European Conference on Machine Learning (ECML)},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Information-Theoretic Policy Search for Path Integral Control},
    year = 2014
    }

  • O. Kroemer, H. van Hoof, G. Neumann, and J. Peters, “Learning to Predict Phases of Manipulation Tasks as Hidden States,” in Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014.
    [BibTeX] [Download PDF]
    @inproceedings{Kroemer2014,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Kroemer, O. and van Hoof, H. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2f956a9499c40196e1256ea1b1b6595f3/gerineumann},
    booktitle = {Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA)},
    crossref = {p10662},
    interhash = {1997aa067e691e95d2701cfca7b3cdf6},
    intrahash = {f956a9499c40196e1256ea1b1b6595f3},
    key = {tacman, 3rd-hand},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Learning to Predict Phases of Manipulation Tasks as Hidden States},
    url = {http://www.ias.informatik.tu-darmstadt.de/publications/Kroemer_ICRA_2014.pdf},
    year = 2014
    }

  • R. Lioutikov, A. Paraschos, G. Neumann, and J. Peters, “Sample-Based Information-Theoretic Stochastic Optimal Control,” in Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014.
    [BibTeX]
    @inproceedings{Lioutikov2014,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Lioutikov, R. and Paraschos, A. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2b9ea7444a888ba254adee6534c812b5f/gerineumann},
    booktitle = {Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA)},
    interhash = {24a4c83fd9e09f712ab2e8ead30831a5},
    intrahash = {b9ea7444a888ba254adee6534c812b5f},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Sample-Based Information-Theoretic Stochastic Optimal Control},
    year = 2014
    }

  • R. Lioutikov, A. Paraschos, J. Peters, and G. Neumann, “Generalizing Movements with Information-Theoretic Stochastic Optimal Control,” Journal Aerospace Information Systems, 2014.
    [BibTeX]
    @article{Lioutikov2014a,
    added-at = {2018-06-22T13:55:27.000+0200},
    author = {Lioutikov, R. and Paraschos, A. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/216e062ae579136d63fe3bfd312a0f6bd/gerineumann},
    interhash = {5eea7328fbcac7b949ffca08d5f7ffbd},
    intrahash = {16e062ae579136d63fe3bfd312a0f6bd},
    journal = {Journal Aerospace Information Systems},
    keywords = {imported},
    owner = {neumann},
    timestamp = {2018-06-22T13:55:39.000+0200},
    title = {Generalizing Movements with Information-Theoretic Stochastic Optimal Control},
    year = 2014
    }

  • K. S. Luck, G. Neumann, E. Berger, J. Peters, and H. Ben Amor, “Latent Space Policy Search for Robotics,” in Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2014.
    [BibTeX] [Download PDF]
    @inproceedings{Luck2014,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Luck, K.S. and Neumann, G. and Berger, E. and Peters, J. and Ben Amor, H.},
    biburl = {https://www.bibsonomy.org/bibtex/2556c98cd26727ce2db010fd48184f038/gerineumann},
    booktitle = {Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS)},
    crossref = {p10751},
    interhash = {a675ecfa07f1ef271ea78e8d0841f022},
    intrahash = {556c98cd26727ce2db010fd48184f038},
    key = {complacs, codyco},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Latent Space Policy Search for Robotics},
    url = {http://www.ias.tu-darmstadt.de/uploads/Publications/Luck_IROS_2014.pdf},
    year = 2014
    }

  • G. J. Maeda, M. Ewerton, R. Lioutikov, H. B. Amor, J. Peters, and G. Neumann, “Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2014, pp. 527-534.
    [BibTeX] [Download PDF]
    @inproceedings{Maeda2014,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Maeda, G.J. and Ewerton, M. and Lioutikov, R. and Amor, H.B. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/227e1bad8151a6f2a683e2c32950592ab/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    crossref = {p10765},
    interhash = {beb2e7885087be80a37b4453f0fa7d44},
    intrahash = {27e1bad8151a6f2a683e2c32950592ab},
    key = {3rd-hand, complacs},
    keywords = {imported},
    pages = {527--534},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives},
    url = {http://www.ausy.tu-darmstadt.de/uploads/Team/PubGJMaeda/maeda2014InteractionProMP_HUMANOIDS.pdf},
    year = 2014
    }

  • G. Neumann, C. Daniel, A. Paraschos, A. Kupcsik, and J. Peters, “Learning Modular Control Policies in Robotics,” Frontiers in Computational Neuroscience, 2014.
    [BibTeX]
    @article{Neumann2014,
    added-at = {2018-06-22T13:55:27.000+0200},
    author = {Neumann, G. and Daniel, C. and Paraschos, A. and Kupcsik, A. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2b89502d9fbb832a98b727711670cef4d/gerineumann},
    interhash = {e0c22603f0f1269ba6ae18d66c1188a3},
    intrahash = {b89502d9fbb832a98b727711670cef4d},
    journal = {Frontiers in Computational Neuroscience},
    keywords = {imported},
    timestamp = {2018-06-22T13:55:39.000+0200},
    title = {Learning Modular Control Policies in Robotics},
    year = 2014
    }

  • E. Rueckert, M. Mindt, J. Peters, and G. Neumann, “Robust Policy Updates for Stochastic Optimal Control,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2014.
    [BibTeX] [Download PDF]
    @inproceedings{Rueckert2014,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Rueckert, E. and Mindt, M. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/29d2eb931a720ad66b96067a26688f90c/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    crossref = {p10768},
    interhash = {1a864316caecd353d70e12187cd3f458},
    intrahash = {9d2eb931a720ad66b96067a26688f90c},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Robust Policy Updates for Stochastic Optimal Control},
    url = {http://www.ias.informatik.tu-darmstadt.de/uploads/Site/EditPublication/AICOHumanoidsFinal.pdf},
    year = 2014
    }

2013

  • C. Daniel, G. Neumann, O. Krömer, and J. Peters, “Learning Sequential Motor Tasks,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2013.
    [BibTeX]
    @inproceedings{Daniel2013,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Daniel, C. and Neumann, G. and Kr\"omer, O. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/27366d4f32a6d81851335ace79790778f/gerineumann},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    interhash = {877c85a311c2f9568d0b045fc49b16de},
    intrahash = {7366d4f32a6d81851335ace79790778f},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = { Learning Sequential Motor Tasks},
    year = 2013
    }

  • A. Kupcsik, M. P. Deisenroth, J. Peters, and G. Neumann, “Data-Efficient Contextual Policy Search for Robot Movement Skills,” in Proceedings of the National Conference on Artificial Intelligence (AAAI), 2013.
    [BibTeX]
    @inproceedings{Kupcsik2013,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Kupcsik, A. and Deisenroth, M. P. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2aa120bb360d81125d26fd669ad6d16f3/gerineumann},
    booktitle = {Proceedings of the National Conference on Artificial Intelligence (AAAI)},
    interhash = {9ae6dcf30e8c60f85c1cd9454f7d29f5},
    intrahash = {aa120bb360d81125d26fd669ad6d16f3},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Data-Efficient Contextual Policy Search for Robot Movement Skills},
    year = 2013
    }

  • G. Neumann, A. G. Kupcsik, M. P. Deisenroth, and J. Peters, “Information-Theoretic Motor Skill Learning,” in Proceedings of the AAAI 2013 Workshop on Intelligent Robotic Systems, 2013.
    [BibTeX]
    @inproceedings{Neumann2013,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Neumann, G. and Kupcsik, A.G. and Deisenroth, M.P. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2089ae1353bfe79a286193775f272e97e/gerineumann},
    booktitle = {Proceedings of the AAAI 2013 Workshop on Intelligent Robotic Systems},
    interhash = {d8eefd0f9ae88b30687c579ff19de3de},
    intrahash = {089ae1353bfe79a286193775f272e97e},
    keywords = {imported},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Information-Theoretic Motor Skill Learning},
    year = 2013
    }

  • A. Paraschos, G. Neumann, and J. Peters, “A Probabilistic Approach to Robot Trajectory Generation,” in Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2013.
    [BibTeX]
    @inproceedings{Paraschos2013a,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Paraschos, A. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2a9019b53fcc98daf176338099191fa7f/gerineumann},
    booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
    interhash = {d9058d543c3846a3b07f17ccb5f662fe},
    intrahash = {a9019b53fcc98daf176338099191fa7f},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {A Probabilistic Approach to Robot Trajectory Generation},
    year = 2013
    }

  • A. Paraschos, C. Daniel, J. Peters, and G. Neumann, “Probabilistic Movement Primitives,” in Advances in Neural Information Processing Systems (NIPS), Cambridge, MA: MIT Press., 2013.
    [BibTeX]
    @inproceedings{Paraschos2013,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Paraschos, A. and Daniel, C. and Peters, J. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/21ab7922d4796b51cc10a0a7b63fc427b/gerineumann},
    booktitle = {Advances in Neural Information Processing Systems (NIPS), Cambridge, MA: MIT Press.},
    interhash = {d0a433c91378a2ba90b65375afb6947d},
    intrahash = {1ab7922d4796b51cc10a0a7b63fc427b},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Probabilistic Movement Primitives},
    year = 2013
    }

  • E. Rückert, G. Neumann, M. Toussaint, and W. Maass, “Learned Graphical Models for Probabilistic Planning provide a new Class of Movement Primitives,” Frontiers in Computational Neuroscience, vol. 6, iss. 97, 2013.
    [BibTeX]
    @article{Rueckert2012,
    added-at = {2018-06-22T13:55:27.000+0200},
    author = {R\"uckert, E. and Neumann, G. and Toussaint, M. and Maass, W.},
    biburl = {https://www.bibsonomy.org/bibtex/27246320e24cabd4a3db8c9fc471d1aa5/gerineumann},
    interhash = {9f95a15aae542d347b76b2f6214ef59d},
    intrahash = {7246320e24cabd4a3db8c9fc471d1aa5},
    journal = {Frontiers in Computational Neuroscience},
    keywords = {imported},
    number = 97,
    timestamp = {2018-06-22T13:55:39.000+0200},
    title = {Learned Graphical Models for Probabilistic Planning provide a new Class of Movement Primitives},
    volume = 6,
    year = 2013
    }

2012

  • H. Amor, O. Kroemer, U. Hillenbrand, G. Neumann, and J. Peters, “Generalization of Human Grasping for Multi-Fingered Robot Hands,” in Proceedings of the International Conference on Robot Systems (IROS), 2012.
    [BibTeX]
    @inproceedings{Amor2012,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Amor, H. and Kroemer, O. and Hillenbrand, U. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/20ee534338a5fb729ddadb91bdcb98eeb/gerineumann},
    booktitle = {Proceedings of the International Conference on Robot Systems (IROS)},
    interhash = {251db36959d4336450e91a46084e833f},
    intrahash = {0ee534338a5fb729ddadb91bdcb98eeb},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = { Generalization of Human Grasping for Multi-Fingered Robot Hands},
    year = 2012
    }

  • C. Daniel, G. Neumann, and J. Peters, “Hierarchical Relative Entropy Policy Search,” in International Conference on Artificial Intelligence and Statistics (AISTATS), 2012.
    [BibTeX]
    @inproceedings{Daniel2012,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Daniel, C. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/21a0430f447446bc9d22aefc3b610dfde/gerineumann},
    booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
    interhash = {dc839ef51fe02b12bdb490f12cca6bbe},
    intrahash = {1a0430f447446bc9d22aefc3b610dfde},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Hierarchical Relative Entropy Policy Search},
    year = 2012
    }

  • C. Daniel, G. Neumann, and J. Peters, “Learning Concurrent Motor Skills in Versatile Solution Spaces,” in Proceedings of the International Conference on Robot Systems (IROS), 2012.
    [BibTeX]
    @inproceedings{Daniel2012a,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Daniel, C. and Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2f3474b72943b3a9b5c05bad1567da0a3/gerineumann},
    booktitle = {Proceedings of the International Conference on Robot Systems (IROS)},
    interhash = {d822837ad6025b554341fd31a8fecbe7},
    intrahash = {f3474b72943b3a9b5c05bad1567da0a3},
    keywords = {imported},
    series = {best cognitive systems paper award, best paper award finalist},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = { Learning Concurrent Motor Skills in Versatile Solution Spaces},
    year = 2012
    }

  • E. Rückert and G. Neumann, “Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation,” Artificial Life, 2012.
    [BibTeX]
    @article{Rueckert2012a,
    added-at = {2018-06-22T13:55:27.000+0200},
    author = {R\"uckert, E. and Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/29aa451bf5118fa532e5d1c7db86d6d9b/gerineumann},
    interhash = {dfbe1a7f5e0c45dcdc86bb1333819295},
    intrahash = {9aa451bf5118fa532e5d1c7db86d6d9b},
    journal = {Artificial Life},
    keywords = {imported},
    timestamp = {2018-06-22T13:55:39.000+0200},
    title = {Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation},
    year = 2012
    }

2011

  • H. Hauser, G. Neumann, A. Ijspeert, and W. Maass, “Biologically Inspired Kinematic Synergies enable Linear Balance Control of a Humanoid Robot.,” Biological Cybernetics, vol. 104, 2011.
    [BibTeX]
    @article{Hauser2011,
    added-at = {2018-06-22T13:55:27.000+0200},
    author = {Hauser, H. and Neumann, G. and Ijspeert, A. and Maass, W.},
    biburl = {https://www.bibsonomy.org/bibtex/2cc0fab281d649e570dbad7d14f7a43ce/gerineumann},
    interhash = {0f73244e2cad943679944f5934e098b9},
    intrahash = {cc0fab281d649e570dbad7d14f7a43ce},
    journal = {Biological Cybernetics},
    keywords = {imported},
    timestamp = {2018-06-22T13:55:39.000+0200},
    title = {Biologically {I}nspired {K}inematic {S}ynergies enable {L}inear {B}alance {C}ontrol of a {H}umanoid {R}obot.},
    volume = 104,
    year = 2011
    }

  • G. Neumann, “Variational Inference for Policy Search in Changing Situations,” in Proceedings of the International Conference on Machine Learning (ICML), 2011.
    [BibTeX]
    @inproceedings{Neumann2011,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Neumann, G.},
    biburl = {https://www.bibsonomy.org/bibtex/2946e54368509f21b463c6a688abe1082/gerineumann},
    booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
    interhash = {1984faf605beafa34f7660fb4969a764},
    intrahash = {946e54368509f21b463c6a688abe1082},
    keywords = {imported},
    owner = {neumann},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Variational Inference for Policy Search in Changing Situations},
    year = 2011
    }

2009

  • G. Neumann and J. Peters, “Fitted Q-Iteration by Advantage Weighted Regression,” in Advances in Neural Information Processing Systems (NIPS), 2009.
    [BibTeX]
    @inproceedings{Neumann2009,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Neumann, G. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/297ac9d98a2003f0542bf22919e48c156/gerineumann},
    booktitle = {Advances in Neural Information Processing Systems (NIPS)},
    interhash = {519ab108c26414e539954e1add25306a},
    intrahash = {97ac9d98a2003f0542bf22919e48c156},
    keywords = {imported},
    owner = {neumann},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Fitted Q-Iteration by Advantage Weighted Regression},
    year = 2009
    }

  • G. Neumann, W. Maass, and J. Peters, “Learning Complex Motions by Sequencing Simpler Motion Templates,” in Proceedings of the 26th International Conference on Machine Learning (ICML), 2009.
    [BibTeX]
    @inproceedings{Neumann2009a,
    added-at = {2018-06-28T12:43:23.000+0200},
    author = {Neumann, G. and Maass, W. and Peters, J.},
    biburl = {https://www.bibsonomy.org/bibtex/2d4c20c6761ce5ea94808421cc33bedb6/gerineumann},
    booktitle = {Proceedings of the 26th International Conference on Machine Learning (ICML)},
    interhash = {c6a570185f19ba81749b4304d577aa62},
    intrahash = {d4c20c6761ce5ea94808421cc33bedb6},
    keywords = {imported},
    owner = {neumann},
    timestamp = {2018-06-28T12:43:54.000+0200},
    title = {Learning {C}omplex {M}otions by {S}equencing {S}impler {M}otion {T}emplates},
    year = 2009
    }

2007

  • H. Hauser, G. Neumann, A. Ijspeert, and W. Maass, “Biologically Inspired Kinematic Synergies Provide a New Paradigm for Balance Control of Humanoid Robots,” in Proceedings of the 7th IEEE RAS/RSJ Conference on Humanoids Robots (HUMANOIDS), 2007.
    [BibTeX]
    @inproceedings{Hauser2007,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Hauser, H. and Neumann, G. and Ijspeert, A and Maass, W.},
    biburl = {https://www.bibsonomy.org/bibtex/2c6635a30e2a00f554f6bfc1abc254ff4/gerineumann},
    booktitle = {Proceedings of the 7th IEEE RAS/RSJ Conference on Humanoids Robots (HUMANOIDS)},
    interhash = {76498598bf0bfac2e43a37dd83ff237a},
    intrahash = {c6635a30e2a00f554f6bfc1abc254ff4},
    keywords = {imported},
    series = {best paper award},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Biologically {I}nspired {K}inematic {S}ynergies {P}rovide a {N}ew {P}aradigm for {B}alance {C}ontrol of {H}umanoid {R}obots},
    year = 2007
    }

  • G. Neumann, M. Pfeiffer, and W. Maass, “Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs,” in Proceedings of the European Conference on Machine Learning (ECML), 2007.
    [BibTeX]
    @inproceedings{Neumann2007,
    added-at = {2018-06-28T12:46:08.000+0200},
    author = {Neumann, G. and Pfeiffer, M. and Maass, W.},
    biburl = {https://www.bibsonomy.org/bibtex/21a1d166288b11678385e85dcdd939af4/gerineumann},
    booktitle = {Proceedings of the European Conference on Machine Learning (ECML)},
    interhash = {96a63f868d73299cbdc60c06f31b50a7},
    intrahash = {1a1d166288b11678385e85dcdd939af4},
    keywords = {imported},
    timestamp = {2018-06-28T12:46:17.000+0200},
    title = {Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs},
    year = 2007
    }