Boris Belousov

Quick Info

Research Interests

Machine Learning, Robotics

Links

Publications Google Scholar Research Gate Personal Website

Contact Information

TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Room E304, Building S2|02
work+49-6151-16-25387

Boris Belousov is a member of the SKILLS4ROBOTS project. Prior to joining IAS as a PhD student in February 2016, he received a MSc degree in Communications and Multimedia Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg, supported by a competitive DAAD scholarship for international students based on academic achievements. His BSc degree in applied mathematics and physics with a major in Electrical Engineering and Cybernetics was awarded by Moscow Institute of Physics and Technology.

Boris is working towards combining optimal control and information theory with applications to robotics and reinforcement learning. Motivated by the vision of intelligent systems of the future, that autonomously set and accomplish goals, learn from experience, and adapt to changing conditions, Boris studies the fundamental principles of learning and control based on statistical decision theory.

Key References

Maximum Entropy Reinforcement Learning

Model-Based Exploration

Tactile Manipulation

Optimal Control

For a full list of publications, see Publications.

Supervised Theses and Projects

Talks and Presentations

  • 05.11.19, Preferred Networks, Tokyo
  • 31.10.19, 3rd Conference on Robot Learning (CoRL)
  • 29.10.19, Osaka University
  • 28.10.19, Kyutech and Kyushu University
  • 16.10.19, 19th International Conference on Humanoid Robots (Humanoids)
  • 16.09.19, Architectural Intelligence Colloquium (TU Darmstadt)
  • 09.09.19, 3rd Workshop of the Intel Network on Intelligent Systems (NIS)
  • 08.07.19, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM)
  • 02.10.18, 14th European Workshop on Reinforcement Learning (EWRL)
  • 02.07.18, 38th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt)
  • 14.03.17, 13th Karniel Computational Motor Control Workshop (KCMCW)
  • 06.12.16, 29th Conference on Neural Information Processing Systems (NIPS)
  • 26.09.16, Robotics in the 21st century: Challenges and Promises, International Workshop

Community Service

  

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