Adrian Sosic

Orcid: 0000-0003-2845-6635

Affiliations:
  • Darmstadt University of Technology, Germany (PhD 2018)


According to our database1, Adrian Sosic authored at least 15 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
Deep Reinforcement Learning for Swarm Systems.
J. Mach. Learn. Res., 2019

Correlation Priors for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Learning Models of Behavior From Demonstration and Through Interaction.
PhD thesis, 2018

Correction to: Reinforcement learning in a continuum of agents.
Swarm Intell., 2018

Reinforcement learning in a continuum of agents.
Swarm Intell., 2018

A Bayesian Approach to Policy Recognition and State Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
J. Mach. Learn. Res., 2018

Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

Inverse Reinforcement Learning via Nonparametric Subgoal Modeling.
Proceedings of the 2018 AAAI Spring Symposia, 2018

2017
Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning.
CoRR, 2017

Guided Deep Reinforcement Learning for Swarm Systems.
CoRR, 2017

Inverse Reinforcement Learning in Swarm Systems.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
Policy recognition via expectation maximization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014
sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2012
Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding.
Proceedings of the SIGMAP and WINSYS 2012, 2012


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