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Linear Policies are Sufficient to Realize Robust Bipedal Walking on Challenging Terrains.

, , , , and . IEEE Robotics Autom. Lett., 7 (2): 2047-2054 (2022)

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Learning Multimodal Bipedal Locomotion and Implicit Transitions: A Versatile Policy Approach., and . IROS, page 10448-10455. (2023)Linear Policies are Sufficient to Realize Robust Bipedal Walking on Challenging Terrains., , , , and . CoRR, (2021)Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach., , , , , , , , , and . CoRR, (2020)Learning Linear Policies for Robust Bipedal Locomotion on Terrains with Varying Slopes., , , , and . IROS, page 5159-5164. IEEE, (2021)MELP: Model Embedded Linear Policies for Robust Bipedal Hopping., , , , and . IROS, page 10418-10424. (2023)Linear Policies are Sufficient to Realize Robust Bipedal Walking on Challenging Terrains., , , , and . IEEE Robotics Autom. Lett., 7 (2): 2047-2054 (2022)OGMP: Oracle Guided Multimodal Policies for Agile and Versatile Robot Control., , and . CoRR, (2024)Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach., , , , , , , , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 2257-2267. PMLR, (2020)Artificial Intelligence Applications with e-Learning System for China's Higher Education Platform., , and . J. Interconnect. Networks, 22 (Supp-02): 2143016:1-2143016:19 (2022)