Boris Belousov

Orcid: 0000-0001-7172-9104

Affiliations:
  • TU Darmstadt, Germany


According to our database1, Boris Belousov authored at least 25 papers between 2016 and 2024.

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Bibliography

2024
What Matters for Active Texture Recognition With Vision-Based Tactile Sensors.
CoRR, 2024

Iterated Q-Network: Beyond the One-Step Bellman Operator.
CoRR, 2024

Parameterized Projected Bellman Operator.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Continuous-Time Fitted Value Iteration for Robust Policies.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Pseudo-Likelihood Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Visual Tactile Sensor Based Force Estimation for Position-Force Teleoperation.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023

2022
On Optimal Behavior Under Uncertainty in Humans and Robots
PhD thesis, 2022

How Crucial is Transformer in Decision Transformer?
CoRR, 2022

Active Inference for Robotic Manipulation.
CoRR, 2022

Active Exploration for Robotic Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning.
J. Mach. Learn. Res., 2021

Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions.
CoRR, 2021

Neural Posterior Domain Randomization.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Underactuated Waypoint Trajectory Optimization for Light Painting Photography.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Entropic Regularization of Markov Decision Processes.
Entropy, 2019

CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.
CoRR, 2019

Entropic Risk Measure in Policy Search.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Building a Library of Tactile Skills Based on FingerVision.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

Receding Horizon Curiosity.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Self-Paced Contextual Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
f-Divergence constrained policy improvement.
CoRR, 2018

2016
Catching heuristics are optimal control policies.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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