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20232026
most citedLearn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains

8 citations · 8 across the 8 of their papers we have counts for

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cs.RO2023

Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning

Feiyang Wu, Zhaoyuan Gu, Hanran Wu +2

Enabling bipedal walking robots to learn how to maneuver over highly uneven, dynamically changing terrains is challenging due to the complexity of robot dynamics and interacted env…