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Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States., , , , и . CoRR, (2016)Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing., , , , , , и . IROS, стр. 3066-3073. IEEE, (2018)Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 19440-19459. PMLR, (2023)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., , , , , , , , , и 7 other автор(ы). Data, 8 (2): 39 (февраля 2023)Backprop KF: Learning Discriminative Deterministic State Estimators., , , и . NIPS, стр. 4376-4384. (2016)Combining Physical Simulators and Object-Based Networks for Control., , , , , , и . ICRA, стр. 3217-3223. IEEE, (2019)Compositional Foundation Models for Hierarchical Planning., , , , , , , , , и . CoRR, (2023)Statistical Learning under Heterogenous Distribution Shift., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 31800-31851. PMLR, (2023)Offline RL Policies Should Be Trained to be Adaptive., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 7513-7530. PMLR, (2022)Learning to Navigate Endoscopic Capsule Robots., , , , , , , , и . IEEE Robotics Autom. Lett., 4 (3): 3075-3082 (2019)