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ORCIDAdrian Sosic
Person information
- unicode name: Adrian Šošić
- affiliation (PhD 2018): Darmstadt University of Technology, Germany
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Books and Theses
- 2018
[b1]Adrian Sosic:
Learning Models of Behavior From Demonstration and Through Interaction. Darmstadt University of Technology, Germany, 2018
Journal Articles
- 2019
- [j5]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Deep Reinforcement Learning for Swarm Systems. J. Mach. Learn. Res. 20: 54:1-54:31 (2019) - 2018
- [j4]Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. J. Mach. Learn. Res. 19: 69:1-69:45 (2018) - [j3]Adrian Sosic
, Abdelhak M. Zoubir, Heinz Koeppl:
A Bayesian Approach to Policy Recognition and State Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1295-1308 (2018) - [j2]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Reinforcement learning in a continuum of agents. Swarm Intell. 12(1): 23-51 (2018) - [j1]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Correction to: Reinforcement learning in a continuum of agents. Swarm Intell. 12(4): 361 (2018)
Conference and Workshop Papers
- 2019
- [c7]Bastian Alt, Adrian Sosic, Heinz Koeppl:
Correlation Priors for Reinforcement Learning. NeurIPS 2019: 14155-14165 - 2018
- [c6]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning via Nonparametric Subgoal Modeling. AAAI Spring Symposia 2018 - [c5]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning. ANTS Conference 2018: 71-83 - 2017
- [c4]Adrian Sosic, Wasiur R. KhudaBukhsh, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning in Swarm Systems. AAMAS 2017: 1413-1421 - 2016
- [c3]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Policy recognition via expectation maximization. ICASSP 2016: 4801-4805 - 2014
- [c2]Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert:
sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition. ICANN 2014: 185-192 - 2012
- [c1]Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert:
Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding. SIGMAP 2012: 81-84
Informal and Other Publications
- 2019
- [i7]Bastian Alt, Adrian Sosic, Heinz Koeppl:
Correlation Priors for Reinforcement Learning. CoRR abs/1909.05106 (2019) - 2018
- [i6]Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. CoRR abs/1803.00444 (2018) - [i5]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Deep Reinforcement Learning for Swarm Systems. CoRR abs/1807.06613 (2018) - 2017
- [i4]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Guided Deep Reinforcement Learning for Swarm Systems. CoRR abs/1709.06011 (2017) - [i3]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning. CoRR abs/1709.07224 (2017) - 2016
- [i2]Adrian Sosic, Wasiur R. KhudaBukhsh, Abdelhak M. Zoubir, Heinz Koeppl:
Inverse Reinforcement Learning in Swarm Systems. CoRR abs/1602.05450 (2016) - [i1]Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
A Bayesian Approach to Policy Recognition and State Representation Learning. CoRR abs/1605.01278 (2016)
Coauthor Index
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