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Hierarchical Reinforcement Learning with Timed Subgoals.

, , и . NeurIPS, стр. 21732-21743. (2021)

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Heinz Büchler

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Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios., , , , и . ICLR, OpenReview.net, (2022)Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning., , , , , и . Robotics: Science and Systems, (2023)Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts., , , , , и . L4DC, том 211 из Proceedings of Machine Learning Research, стр. 878-890. PMLR, (2023)Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning., , , , , , , и . CoRL, том 155 из Proceedings of Machine Learning Research, стр. 765-781. PMLR, (2020)Open X-Embodiment: Robotic Learning Datasets and RT-X Models., , , , , , , , , и 44 other автор(ы). CoRR, (2023)Hierarchical Reinforcement Learning with Timed Subgoals., , и . NeurIPS, стр. 21732-21743. (2021)Reinforcement learning with model-based feedforward inputs for robotic table tennis., , , и . Auton. Robots, 47 (8): 1387-1403 (декабря 2023)Identifying Policy Gradient Subspaces., , , , , , и . ICLR, OpenReview.net, (2024)Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots., , и . CoRR, (2019)Data-Efficient Online Learning of Ball Placement in Robot Table Tennis., , , , и . IROS, стр. 567-573. (2023)