Conference and Workshop Papers
Wibranek, B.; Belousov, B.; Sadybakasov, A.; Tessmann, O. (2019). Interactive Assemblies: Man-Machine Collaboration through Building Components for As-Built Digital Models, Computer-Aided Architectural Design Futures (CAAD Futures).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Belousov, B.; Abdulsamad, H.; Schultheis, M.; Peters, J. (2019). Belief space model predictive control for approximately optimal system identification, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Belousov, B.; Peters, J. (2018). Entropic Regularization of Markov Decision Processes, 38th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Belousov, B.; Peters, J. (2018). Mean squared advantage minimization as a consequence of entropic policy improvement regularization, European Workshops on Reinforcement Learning (EWRL).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Belousov, B.; Neumann, G.; Rothkopf, C.A.; Peters, J. (2017). Catching heuristics are optimal control policies, Proceedings of the Karniel Thirteenth Computational Motor Control Workshop.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Belousov, B.; Neumann, G.; Rothkopf, C.; Peters, J. (2016). Catching heuristics are optimal control policies, Advances in Neural Information Processing Systems (NIPS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
Books, Book Chapters & Theses
Belousov, B. (2016). Optimal Control of Ball Catching, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
Preprints
Belousov, B.; Peters, J. (2017). f-Divergence constrained policy improvement, arXiv.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

  

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