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Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning., , , , , and . Robotics: Science and Systems, (2023)Identifying Policy Gradient Subspaces., , , , , , and . CoRR, (2024)Investigating the Impact of Action Representations in Policy Gradient Algorithms., , , , and . CoRR, (2023)Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios., , , , and . ICLR, OpenReview.net, (2022)Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots., , and . Robotics Auton. Syst., (2023)Reinforcement learning with model-based feedforward inputs for robotic table tennis., , , and . Auton. Robots, 47 (8): 1387-1403 (December 2023)DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems., , , , and . CoRR, (2022)Open X-Embodiment: Robotic Learning Datasets and RT-X Models., , , , , , , , , and 44 other author(s). CoRR, (2023)Hierarchical Reinforcement Learning with Timed Subgoals., , and . NeurIPS, page 21732-21743. (2021)Learning to Play Table Tennis From Scratch using Muscular Robots., , , , , and . CoRR, (2020)