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Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states.

, , , , and . ICRA, page 3373-3380. IEEE, (2017)

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Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States., , , , and . CoRR, (2016)Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing., , , , , , and . IROS, page 3066-3073. IEEE, (2018)Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 19440-19459. PMLR, (2023)OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning., , , , and . CoRR, (2020)Distributionally Adaptive Meta Reinforcement Learning., , , , and . NeurIPS, (2022)Is Conditional Generative Modeling all you need for Decision Making?, , , , , and . ICLR, OpenReview.net, (2023)Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners., , and . ICRA, page 7898-7904. IEEE, (2020)Multi-Year On-Farm Trial Data on the Performance of Long- and Short-Duration Wheat Varieties against Sowing Dates in the Eastern Indo-Gangetic Plain of India., , , , , , , , , and 7 other author(s). Data, 8 (2): 39 (February 2023)Compositional Foundation Models for Hierarchical Planning., , , , , , , , , and . CoRR, (2023)Offline RL Policies Should Be Trained to be Adaptive., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7513-7530. PMLR, (2022)