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Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning.

, , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7435-7469. PMLR, (2022)

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Collective Intelligence for Object Manipulation with Mobile Robots., , , , , and . CoRR, (2022)Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters., , and . NeurIPS, (2022)A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation., , , and . ICLR, OpenReview.net, (2023)Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7435-7469. PMLR, (2022)Collective Intelligence for 2D Push Manipulations With Mobile Robots., , , , , , and . IEEE Robotics Autom. Lett., 8 (5): 2820-2827 (May 2023)Generalized Decision Transformer for Offline Hindsight Information Matching., , and . CoRR, (2021)Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms., , , , and . CoRR, (2021)Learning a Universal Human Prior for Dexterous Manipulation from Human Preference., , , , , and . CoRR, (2023)Large Language Models are Zero-Shot Reasoners., , , , and . NeurIPS, (2022)EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3682-3691. PMLR, (2021)