Adrian Šošić
Adrian Šošić
Postdoctoral Researcher, Technische Universität Darmstadt
Verified email at bcs.tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
Deep reinforcement learning for swarm systems
M Hüttenrauch, S Adrian, G Neumann
Journal of Machine Learning Research 20 (54), 1-31, 2019
802019
Guided deep reinforcement learning for swarm systems
M Hüttenrauch, A Šošić, G Neumann
arXiv preprint arXiv:1709.06011, 2017
512017
Guided deep reinforcement learning for swarm systems
M Hüttenrauch, A Šošić, G Neumann
AAMAS Workshop on Autonomous Robots and Multirobot Systems, 2017
492017
Guided Deep Reinforcement Learning for Swarm Systems
GN Maximilian Hüttenrauch, Adrian Šošić
NIPS Workshop on Learning, Inference and Control of Multi-Agent Systems, 2016
49*2016
Inverse Reinforcement Learning in Swarm Systems
HK Adrian Šošić, Wasiur R KhudaBukhsh, Abdelhak M Zoubir
AAMAS Workshop on Transfer in Reinforcement Learning, 2017
37*2017
Inverse reinforcement learning in swarm systems
A Šošić, WR KhudaBukhsh, AM Zoubir, H Koeppl
arXiv preprint arXiv:1602.05450, 2016
372016
Local communication protocols for learning complex swarm behaviors with deep reinforcement learning
M Hüttenrauch, A Šošić, G Neumann
International Conference on Swarm Intelligence, 71-83, 2018
192018
A Bayesian approach to policy recognition and state representation learning
A Šošić, AM Zoubir, H Koeppl
IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (6), 1295-1308, 2018
82018
Inverse reinforcement learning via nonparametric spatio-temporal subgoal modeling
A Šošic, AM Zoubir, E Rueckert, J Peters, H Koeppl
Journal of Machine Learning Research 19 (69), 1-45, 2018
52018
Inverse reinforcement learning via nonparametric subgoal modeling
A Šošić, AM Zoubir, H Koeppl
2018 AAAI Spring Symposium Series, 2018
52018
Correlation priors for reinforcement learning
B Alt, A Šošić, H Koeppl
Advances in Neural Information Processing Systems 32, 14155-14165, 2019
42019
Reinforcement learning in a continuum of agents
A Šošić, AM Zoubir, H Koeppl
Swarm Intelligence 12 (1), 23-51, 2018
42018
Policy recognition via expectation maximization
A Sosic, AM Zoubir, H Koeppl
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
42016
sNN-LDS: spatio-temporal non-negative sparse coding for human action recognition
T Guthier, A Šošić, V Willert, J Eggert
International Conference on Artificial Neural Networks, 185-192, 2014
22014
Learning Models of Behavior From Demonstration and Through Interaction
A Šošić
Technische Universität, 2018
12018
Reinforcement learning in a continuum of agents (vol 12, pg 23, 2018)
A Sosic, AM Zoubir, H Koeppl
SWARM INTELLIGENCE 12 (4), 361-361, 2018
2018
Correction to: Reinforcement learning in a continuum of agents
A Šošić, AM Zoubir, H Koeppl
Swarm Intelligence 12 (4), 361-361, 2018
2018
Markov Assumptions for Non-negative Matrix Factorization
A Šošić
2013
Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding.
T Guthier, A Sosic, V Willert, J Eggert
SIGMAP, 81-84, 2012
2012
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