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Number of items: 74.

Hüttenrauch, M. ; Šošić, A. ; Neumann, G. (2019):
Deep Reinforcement Learning for Swarm Systems.
In: Journal of Machine Learning Research, 20 (54), pp. 1-31. [Article]

Osa, T. ; Peters, J. ; Neumann, G. (2018):
Hierarchical Reinforcement Learning of Multiple Grasping Strategies with Human Instructions.
In: Advanced Robotics, 32 (18), pp. 955-968. DOI: 10.1080/01691864.2018.1509018,
[Article]

Gebhardt, G. H. W. ; Daun, K. ; Schnaubelt, M. ; Neumann, G. (2018):
Learning Robust Policies for Object Manipulation with Robot Swarms.
In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 7688-7695,
IEEE, IEEE International Conference on Robotics and Automation, Brisbane, Australia, 21.-25.05.2018, ISBN 978-1-5386-3082-2,
DOI: 10.1109/ICRA.2018.8463215,
[Conference or Workshop Item]

Osa, T. ; Pajarinen, J. ; Neumann, G. ; Bagnell, J.A. ; Abbeel, P. ; Peters, J. (2018):
An Algorithmic Perspective on Imitation Learning.
In: Foundations and Trends in Robotics, 7 (1-2), pp. 1-179. ISSN 1935-8253, 1935-8261 (elektronisch),
[Article]

Koert, D. ; Maeda, G. ; Neumann, G. ; Peters, J. (2018):
Learning Coupled Forward-Inverse Models with Combined Prediction Errors.
Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Hüttenrauch, M. ; Šošić, A. ; Neumann, G. (2018):
Local Communication Protocols for Learning Complex Swarm Behaviors With Deep Reinforcement Learning.
In: International Conference on Swarm Intelligence, [Conference or Workshop Item]

Paraschos, A. ; Rueckert, E. ; Peters, J. ; Neumann, G. (2018):
Probabilistic Movement Primitives under Unknown System Dynamics.
In: Advanced Robotics, 32 (6), pp. 297-310. [Article]

Paraschos, A. ; Daniel, C. ; Peters, J. ; Neumann, G. (2018):
Using Probabilistic Movement Primitives in Robotics.
In: Autonomous Robots, 42 (3), pp. 529-551. ISSN 0929-5593,
[Article]

Belousov, B. ; Neumann, G. ; Rothkopf, C. A. ; Peters, J. (2017):
Catching heuristics are optimal control policies.
13th Karniel Computational Motor Control Workshop, Be'er Sheva, Israel, 14.-16.03.2017, [Conference or Workshop Item]

Gabriel, A. ; Akrour, R. ; Peters, J. ; Neumann, G. (2017):
Empowered Skills.
Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Hüttenrauch, M. ; Šošić, A. ; Neumann, G. (2017):
Guided Deep Reinforcement Learning for Swarm Systems.
AAMAS Workshop on Autonomous Robots and Multirobot Systems, [Conference or Workshop Item]

Osa, T. ; Ghalamzan, E. A. M. ; Stolkin, R. ; Lioutikov, R. ; Peters, J. ; Neumann, G. (2017):
Guiding Trajectory Optimization by Demonstrated Distributions.
In: IEEE Robotics and Automation Letters, (2), pp. 819-826. ieee, [Article]

Pajarinen, J. ; Kyrki, V. ; Koval, M. ; Srinivasa, S. ; Peters, J. ; Neumann, G. (2017):
Hybrid Control Trajectory Optimization under Uncertainty.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Gebhardt, G. H. W. ; Kupcsik, A. G. ; Neumann, G. (2017):
The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares.
Proceedings of the National Conference on Artificial Intelligence (AAAI), [Conference or Workshop Item]

End, F. ; Akrour, R. ; Peters, J. ; Neumann, G. (2017):
Layered Direct Policy Search for Learning Hierarchical Skills.
Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Gebhardt, G. H. W. ; Daun, K. ; Schnaubelt, M. ; Hendrich, A. ; Kauth, D. ; Neumann, G. (2017):
Learning to Assemble Objects with a Robot Swarm.
pp. 1547-1549, international foundation for autonomous agents and multiagent systems, Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 17), [Conference or Workshop Item]

Farraj, F. B. ; Osa, T. ; Pedemonte, N. ; Peters, J. ; Neumann, G. ; Giordano, P. R. (2017):
A Learning-based Shared Control Architecture for Interactive Task Execution.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Akrour, R. ; Sorokin, D. ; Peters, J. ; Neumann, G. (2017):
Local Bayesian Optimization of Motor Skills.
Proceedings of the International Conference on Machine Learning (ICML), [Conference or Workshop Item]

Kupcsik, A. G. ; Deisenroth, M. P. ; Peters, J. ; Ai Poh, L. ; Vadakkepat, V. ; Neumann, G. (2017):
Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills.
In: Artificial Intelligence, 247, pp. 415-439. ISSN 0004-3702,
[Article]

Hoof, H. van ; Neumann, G. ; Peters, J. (2017):
Non-parametric Policy Search with Limited Information Loss.
In: Journal of Machine Learning Research, (73), pp. 1-46. ISSN 0885-6125,
[Article]

Maeda, G. ; Ewerton, M. ; Neumann, G. ; Lioutikov, R. ; Peters, J. (2017):
Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration.
In: International Journal of Robotics Research, 36 (13-14), pp. 1579-1594. [Article]

Tangkaratt, V. ; Hoof, H. van ; Parisi, S. ; Neumann, G. ; Peters, J. ; Sugiyama, M. (2017):
Policy Search with High-Dimensional Context Variables.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), [Conference or Workshop Item]

Maeda, G. ; Neumann, G. ; Ewerton, M. ; Lioutikov, R. ; Kroemer, O. ; Peters, J. (2017):
Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks.
In: Autonomous Robots, 41 (3), pp. 593-612. ISSN 0929-5593,
[Article]

Abdulsamad, H. ; Arenz, O. ; Peters, J. ; Neumann, G. (2017):
State-Regularized Policy Search for Linearized Dynamical Systems.
Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), [Conference or Workshop Item]

Abdolmaleki, A. ; Lau, N. ; Reis, L. ; Peters, J. ; Neumann, G. (2016):
Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller.
In: Journal of Intelligent & Robotic Systems, 83 (3-4), pp. 393-408. [Article]

Koert, D. ; Maeda, G. J. ; Lioutikov, R. ; Neumann, G. ; Peters, J. (2016):
Demonstration Based Trajectory Optimization for Generalizable Robot Motions.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Osa, T. ; Peters, J. ; Neumann, G. (2016):
Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies.
Proceedings of the International Symposium on Experimental Robotics (ISER), [Conference or Workshop Item]

Hüttenrauch, M. ; Šošić, A. ; Neumann, G. (2016):
Guided Deep Reinforcement Learning for Swarm Systems.
NIPS Workshop on Learning, Inference and Control of Multi-Agent Systems, [Conference or Workshop Item]

Daniel, C. ; Neumann, G. ; Kroemer, O. ; Peters, J. (2016):
Hierarchical Relative Entropy Policy Search.
In: Journal of Machine Learning Research, 17 (93), pp. 1-50. [Article]

Modugno, V. ; Neumann, G. ; Rueckert, E. ; Oriolo, G. ; Peters, J. ; Ivaldi, S. (2016):
Learning soft task priorities for control of redundant robots.
In: Proceedings of the International Conference on Robotics and Automation (ICRA),
[Conference or Workshop Item]

Akrour, R. ; Abdolmaleki, A. ; Abdulsamad, H. ; Neumann, G. (2016):
Model-Free Trajectory Optimization for Reinforcement Learning.
In: Proceedings of the International Conference on Machine Learning (ICML),
[Conference or Workshop Item]

Ewerton, M. ; Maeda, G. ; Neumann, G. ; Kisner, V. ; Kollegger, G. ; Wiemeyer, J. ; Peters, J. (2016):
Movement Primitives with Multiple Phase Parameters.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), pp. 201-206,
[Conference or Workshop Item]

Arenz, O. ; Abdulsamad, H. ; Neumann, G. (2016):
Optimal Control and Inverse Optimal Control by Distribution Matching.
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Gomez-Gonzalez, S. ; Neumann, G. ; Schoelkopf, B. ; Peters, J. (2016):
Using Probabilistic Movement Primitives for Striking Movements.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS),
[Conference or Workshop Item]

Rueckert, E. ; Mundo, J. ; Paraschos, A. ; Peters, J. ; Neumann, G. (2015):
Extracting Low-Dimensional Control Variables for Movement Primitives.
In: Proceedings of the International Conference on Robotics and Automation (ICRA),
[Conference or Workshop Item]

Ewerton, M. ; Maeda, G. J. ; Peters, J. ; Neumann, G. (2015):
Learning Motor Skills from Partially Observed Movements Executed at Different Speeds.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), pp. 456-463,
[Conference or Workshop Item]

Ewerton, M. ; Neumann, G. ; Lioutikov, R. ; Ben Amor, H. ; Peters, J. ; Maeda, G. (2015):
Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), pp. 1535-1542,
[Conference or Workshop Item]

Hoof, H. van ; Hermans, T. ; Neumann, G. ; Peters, J. (2015):
Learning Robot In-Hand Manipulation with Tactile Features.
International Conference on Humanoid Robots (HUMANOIDS), Seoul, 3.-5.11.2015, [Conference or Workshop Item]

Hoof, H. van ; Peters, J. ; Neumann, G. (2015):
Learning of Non-Parametric Control Policies with High-Dimensional State Features.
In: Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS),
[Conference or Workshop Item]

Abdolmaleki, A. ; Lioutikov, R. ; Peters, J. ; Lau, N. ; Reis, L. ; Neumann, G. (2015):
Model-Based Relative Entropy Stochastic Search.
mit press, Advances in Neural Information Processing Systems (NIPS), [Conference or Workshop Item]

Paraschos, A. ; Rueckert, E. ; Peters, J. ; Neumann, G. (2015):
Model-Free Probabilistic Movement Primitives for Physical Interaction.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS),
[Conference or Workshop Item]

Ewerton, M. ; Neumann, G. ; Lioutikov, R. ; Ben Amor, H. ; Peters, J. ; Maeda, G. (2015):
Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives.
[Other]

Koc, O. ; Maeda, G. ; Neumann, G. ; Peters, J. (2015):
Optimizing Robot Striking Movement Primitives with Iterative Learning Control.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS),
5th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2015, Seoul, 3.-5.11.2015, [Conference or Workshop Item]

Dann, C. ; Neumann, G. ; Peters, J. (2015):
Policy Evaluation with Temporal Differences: A Survey and Comparison.
In: Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling (ICAPS), pp. 359-360,
[Conference or Workshop Item]

Maeda, G. ; Neumann, G. ; Ewerton, M. ; Lioutikov, R. ; Peters, J. (2015):
A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation.
In: Proceedings of the International Symposium of Robotics Research (ISRR),
[Conference or Workshop Item]

Lioutikov, R. ; Neumann, G. ; Maeda, G. J. ; Peters, J. (2015):
Probabilistic Segmentation Applied to an Assembly Task.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS),
[Conference or Workshop Item]

Kroemer, O. ; Daniel, C. ; Neumann, G. ; Hoof, H. van ; Peters, J. (2015):
Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks.
In: Proceedings of the International Conference on Robotics and Automation (ICRA),
Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Neumann, G. ; Daniel, C. ; Paraschos, A. ; Kupcsik, A. ; Peters, J. (2014):
Learning Modular Policies for Robotics.
In: Frontiers in Computational Neuroscience, DOI: 10.3389/fncom.2014.00062,
[Article]

Colome, A. ; Neumann, G. ; Peters, J. ; Torras, C. (2014):
Dimensionality Reduction for Probabilistic Movement Primitives.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Conference or Workshop Item]

Lioutikov, R. ; Paraschos, A. ; Peters, J. ; Neumann, G. (2014):
Generalizing Movements with Information Theoretic Stochastic Optimal Control.
In: Journal of Aerospace Information Systems, 11 (9), pp. 579-595. [Article]

Ben Amor, H. ; Neumann, G. ; Kamthe, S. ; Kroemer, O. ; Peters, J. (2014):
Interaction Primitives for Human-Robot Cooperation Tasks.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Luck, K. S. ; Neumann, G. ; Berger, E. ; Peters, J. ; Ben Amor, H. (2014):
Latent Space Policy Search for Robotics.
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Chicago, IL, 14-18 September 2014, [Conference or Workshop Item]

Maeda, G. J. ; Ewerton, M. ; Lioutikov, R. ; Amor, H. B. ; Peters, J. ; Neumann, G. (2014):
Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives.
pp. 527-534, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Conference or Workshop Item]

Kroemer, O. ; Hoof, H. van ; Neumann, G. ; Peters, J. (2014):
Learning to Predict Phases of Manipulation Tasks as Hidden States.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Dann, C. ; Neumann, G. ; Peters, J. (2014):
Policy Evaluation with Temporal Differences: A Survey and Comparison.
In: Journal of Machine Learning Research 15 (2014) 809-883, 15 (March), pp. 809-883. [Article]

Gomez, V. ; Kappen, B. ; Peters, J. ; Neumann, G. (2014):
Policy Search for Path Integral Control.
European Conference on Machine Learning (ECML), Nancy, 15.-19. September 2014, [Conference or Workshop Item]

Rueckert, E. ; Mindt, M. ; Peters, J. ; Neumann, G. (2014):
Robust Policy Updates for Stochastic Optimal Control.
International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Conference or Workshop Item]

Lioutikov, R. ; Paraschos, A. ; Peters, J. ; Neumann, G. (2014):
Sample-Based Information-Theoretic Stochastic Optimal Control.
IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, May 31 - June 7, 2014, [Conference or Workshop Item]

Daniel, C. ; Neumann, G. ; Peters, J. (2013):
Autonomous Reinforcement Learning with Hierarchical REPS.
International Joint Conference on Neural Networks (IJCNN), Dallas, Texas, USA, Aug 4, 2013 - Aug 9, 2013, [Conference or Workshop Item]

Kupcsik, A. G. ; Deisenroth, M. P. ; Peters, J. ; Neumann, G. (2013):
Data-Efficient Generalization of Robot Skills with Contextual Policy Search.
Proceedings of the National Conference on Artificial Intelligence (AAAI), Bellevue, Washington, USA, 14–18 July 2013, [Conference or Workshop Item]

Neumann, G. ; Kupcsik, A. G. ; Deisenroth, M. P. ; Peters, J. (2013):
Information-Theoretic Motor Skill Learning.
WS-13-10, In: AAAI Workshop - Technical Report,
AAAI Press, 2013 AAAI Workshop, Bellevue, WA, USA, [Conference or Workshop Item]

Daniel, C. ; Neumann, G. ; Kroemer, O. ; Peters, J. (2013):
Learning Sequential Motor Tasks.
Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, May 6-10, 2013, [Conference or Workshop Item]

Paraschos, A. ; Neumann, G. ; Peters, J. (2013):
A Probabilistic Approach to Robot Trajectory Generation.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Paraschos, A. ; Daniel, C. ; Peters, J. ; Neumann, G.
Burges, C. J. C. ; Bottou, L. ; Welling, M. ; Ghahramani, Z. ; Weinberger, K. Q. (eds.) (2013):
Probabilistic Movement Primitives.
In: Advances in Neural Information Processing Systems, 26, pp. 1-9, Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, 5-10 December 2013, [Conference or Workshop Item]

Deisenroth, M. P. ; Neumann, G. ; Peters, J. (2013):
A Survey on Policy Search for Robotics.
In: Foundations and Trends in Robotics, 2 (1-2), pp. 388-403. Foundations and Trends R © in Robotics Vol. 2, Nos. 1–2 (2011) 1–142 c ©, DOI: 10.1561/2300000021,
[Article]

Peters, J. ; Kober, J. ; Muelling, K. ; Kroemer, O. ; Neumann, G. (2013):
Towards Robot Skill Learning: From Simple Skills to Table Tennis.
European Conference on Machine Learning (ECML), Nectar Track, Prag, September 23-27, 2013, [Conference or Workshop Item]

Ben Amor, H. ; Kroemer, O. ; Hillenbrand, U. ; Neumann, G. ; Peters, J. (2012):
Generalization of Human Grasping for Multi-Fingered Robot Hands.
Proceedings of the International Conference on Robot Systems (IROS), [Conference or Workshop Item]

Daniel, C. ; Neumann, G. ; Peters, J. (2012):
Hierarchical Relative Entropy Policy Search.
International Conference on Artificial Intelligence and Statistics (AISTATS 2012), La Palma, Canary Islands, April 21-23, 2012, [Conference or Workshop Item]

Daniel, C. ; Neumann, G. ; Peters, J. (2012):
Learning Concurrent Motor Skills in Versatile Solution Spaces.
Proceedings of the International Conference on Robot Systems (IROS), [Conference or Workshop Item]

Neumann, G. ; Peters, J. (2009):
Fitted Q-iteration by Advantage Weighted Regression.
In: Spotlight Presentation � Acceptance Rate: 9.2%, Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press, [Conference or Workshop Item]

Pfohl, H.-Chr. ; Elbert, R. ; Schönberger, R.
Inderfurth, K. ; Neumann, G. ; Schenk, M. ; Wäscher, G. ; Ziems, D. (eds.) (2008):
Management von Logistik-Clustern: Eine Analyse der Vorteilhaftigkeit regionaler Kooperationen in globalen Logistiknetzwerken.
In: Netzwerklogistik, pp. 107-122, Magdeburg, [Book Section]

Kandeler, E. ; Haase, S. ; Deiglmayr, K. ; Ruess, Liliane ; Marhan, Sven ; Neumann, G. ; Römheld, V. ; Bonkowski, Michael ; Philippot, L. (2005):
Small-scale distribution of soil microbial communities and enzyme processes in the rhizosphere.
In: International Biomicrocosmos Workshop - for the Enhancement of Rhizosphere Research, Creative Research Initiative Sousei (CRIS) <2005, Sapporo>: Abstracts, [Conference or Workshop Item]

Pfohl, H.-Chr. ; Elbert, R.
Wäscher, G. ; Inderfurth, K. ; Neumann, G. ; Schenk, M. ; Ziems, D. (eds.) (2005):
Komplexitätsbeherrschung in der Planung durch den Menschen oder IT/DV-Systeme? Ergebnisse einer Expertenbefragung zur Planung von Produktions- und Logistikprozessen.
In: Intelligente Logistikprozesse. Konzepte, Lösungen, Erfahrungen., pp. 210-224, Magdeburg, [Book Section]

Daniel, C. ; Neumann, G. ; Kroemer, O. ; Peters, J. (2000):
Hierarchical Relative Entropy Policy Search.
In: Journal of Machine Learning Research, 1, pp. 1-48. [Article]

This list was generated on Tue Jan 25 06:02:31 2022 CET.