most citedVisualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control Algorithms

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cs.RO2026

HiL-ResRL: A Model-Agnostic Finetuning Adapter via Human-in-the-loop Residual Reinforcement Learning

Jingyi Liu, Zhaohong Mai, ShunSen He +5

Recent advancements in generative imitation learning have significantly propelled the field of robotic manipulation. However, the majority of existing models rely heavily on Behavi…