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Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States., , , , and . CoRR, (2016)Deep visual foresight for planning robot motion., and . ICRA, page 2786-2793. IEEE, (2017)Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards., , , , , , , , , and . ICLR, OpenReview.net, (2020)End-to-End Robotic Reinforcement Learning without Reward Engineering., , , , and . CoRR, (2019)Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models., , , , , , and . J. Mach. Learn. Res., (2022)Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones., , , , , , , , , and . IEEE Robotics Autom. Lett., 6 (3): 4915-4922 (2021)RoboCLIP: One Demonstration is Enough to Learn Robot Policies., , , , , , , and . CoRR, (2023)Efficient Data Collection for Robotic Manipulation via Compositional Generalization., , , , and . CoRR, (2024)Disentanglement via Latent Quantization., , , , and . CoRR, (2023)Permutation Equivariant Neural Functionals., , , , , , and . CoRR, (2023)