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Alt, B. ; Šošić, A. ; Koeppl, H. (2019)
Correlation Priors for Reinforcement Learning.
33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Kanada (09.12.2019-13.12.2019)
Konferenzveröffentlichung, Bibliographie
Hüttenrauch, M. ; Šošić, A. ; Neumann, G. (2019)
Deep Reinforcement Learning for Swarm Systems.
In: Journal of Machine Learning Research, 20 (54)
Artikel, Bibliographie
Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018)
A Bayesian Approach to Policy Recognition and State Representation Learning.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (6)
doi: 10.1109/TPAMI.2017.2711024
Artikel, Bibliographie
Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018)
Reinforcement Learning in a Continuum of Agents.
In: Swarm Intelligence, 12 (1)
doi: 10.1007/s11721-017-0142-9
Artikel, Bibliographie
Šošić, A. ; Rueckert, E. ; Peters, J. ; Zoubir, A. M. ; Koeppl, H. (2018)
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
In: Journal of Machine Learning Research, 19 (69)
Artikel, Bibliographie
Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018)
Inverse Reinforcement Learning via Nonparametric Subgoal Modeling.
Konferenzveröffentlichung, Bibliographie
Šošić, A. (2018)
Learning Models of Behavior From Demonstration and Through Interaction.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung
Hüttenrauch, M. ; Šošić, A. ; Neumann, G. (2018)
Local Communication Protocols for Learning Complex Swarm Behaviors With Deep Reinforcement Learning.
Konferenzveröffentlichung, Bibliographie
Hüttenrauch, M. ; Šošić, A. ; Neumann, G. (2017)
Guided Deep Reinforcement Learning for Swarm Systems.
AAMAS Workshop on Autonomous Robots and Multirobot Systems.
Konferenzveröffentlichung, Bibliographie
Šošić, A. ; KhudaBukhsh, W. R. ; Zoubir, A. M. ; Koeppl, H. (2017)
Inverse Reinforcement Learning in Swarm Systems.
Konferenzveröffentlichung, Bibliographie
Šošić, A. ; KhudaBukhsh, W. R. ; Zoubir, A. M. ; Koeppl, H. (2017)
Inverse Reinforcement Learning in Swarm Systems.
Konferenzveröffentlichung, Bibliographie
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.
Konferenzveröffentlichung, Bibliographie
Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2016)
Policy Recognition via Expectation Maximization.
IEEE International Conference on Acoustics, Speech and Signal Processing.
doi: 10.1109/ICASSP.2016.7472589
Konferenzveröffentlichung, Bibliographie
Guthier, T. ; Šošić, A. ; Willert, V. ; Eggert, J. (2014)
sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition.
In: Artificial Neural Networks and Machine Learning – ICANN 2014
Buchkapitel, Bibliographie
Guthier, T. ; Šošić, A. ; Willert, V. ; Eggert, J. (2012)
Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding.
SIGMAP and WINSYS 2012 - Proceedings of the International Conference on Signal Processing and Multimedia Applications and International Conference on Wireless Information Networks and Systems, Rome, Italy, 24-27 July, 2012, SIGMAP is part of ICETE - The I.
Konferenzveröffentlichung, Bibliographie