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LIV: Language-Image Representations and Rewards for Robotic Control.

, , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23301-23320. PMLR, (2023)

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Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning., , , and . AAAI, page 5404-5412. AAAI Press, (2022)LIV: Language-Image Representations and Rewards for Robotic Control., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23301-23320. PMLR, (2023)Diverse Sampling for Normalizing Flow Based Trajectory Forecasting., , , and . CoRR, (2020)Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching., , , , and . L4DC, volume 211 of Proceedings of Machine Learning Research, page 259-271. PMLR, (2023)Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14639-14663. PMLR, (2022)DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset., , , , , , , , , and 44 other author(s). CoRR, (2024)VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training., , , , , and . ICLR, OpenReview.net, (2023)Likelihood-Based Diverse Sampling for Trajectory Forecasting., , , and . ICCV, page 13259-13268. IEEE, (2021)TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching., , , , and . CoRR, (2023)Eureka: Human-Level Reward Design via Coding Large Language Models., , , , , , , , and . CoRR, (2023)