Author

Hua-Ping Liu

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#machine learning Preprint May 2025

Trajectory Entropy Reinforcement Learning for Robust Robot Motor Skill Learning

This work introduces a novel inductive bias towards simple policies in reinforcement learning by minimizing the entropy of entire action trajectories, corresponding to the number of bits required to describe information in action trajectories after the agent observes state trajectories.

Bang You, Chenxu Wang, Wen-Ju Yang et al. · 0 citations

#machine learning Sep 2022

Rollout Total Correlation for Deep Reinforcement Learning

This paper investigates how to learn representations by maximizing the rollout total correlation, the correlation among all learned representations and actions within the trajectories produced by the agent, and proposes an intrinsic reward based on the learned representation for better exploration.

Bang You, Hua-Ping Liu, Jan Peters et al. · Trans. Mach. Learn. Res. · 3 citations · ⚡1