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Number of items: 15.

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.-13.12.2019, [Conference or Workshop Item]

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]

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), pp. 1295-1308. DOI: 10.1109/TPAMI.2017.2711024,
[Article]

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018):
Reinforcement Learning in a Continuum of Agents.
In: Swarm Intelligence, 12 (1), pp. 23-51. DOI: 10.1007/s11721-017-0142-9,
[Article]

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), pp. 1-45. [Article]

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018):
Inverse Reinforcement Learning via Nonparametric Subgoal Modeling.
In: AAAI Spring Symposium on Data-Efficient Reinforcement Learning, [Conference or Workshop Item]

Šošić, A. (2018):
Learning Models of Behavior From Demonstration and Through Interaction.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

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]

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]

Šošić, A. ; KhudaBukhsh, W. R. ; Zoubir, A. M. ; Koeppl, H. (2017):
Inverse Reinforcement Learning in Swarm Systems.
In: AAMAS Workshop on Transfer in Reinforcement Learning, [Conference or Workshop Item]

Šošić, A. ; KhudaBukhsh, W. R. ; Zoubir, A. M. ; Koeppl, H. (2017):
Inverse Reinforcement Learning in Swarm Systems (Best Paper Award Finalist).
In: International Conference on Autonomous Agents and Multiagent Systems, [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]

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,
[Conference or Workshop Item]

Guthier, T. ; Šošić, A. ; Willert, V. ; Eggert, J. (2014):
sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition.
In: Lecture Notes in Computer Science, 8681, In: Artificial Neural Networks and Machine Learning – ICANN 2014, pp. 185-192, Springer International Publishing, [Book Section]

Guthier, T. ; Šošić, A. ; Willert, V. ; Eggert, J. (2012):
Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding.
pp. 81-84, 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, [Conference or Workshop Item]

This list was generated on Tue Jun 22 02:16:12 2021 CEST.