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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)Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift., , , , and . CoRR, (2020)Universal Planning Networks., , , , and . CoRR, (2018)Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States., , , , and . CoRR, (2016)Active One-shot Learning., and . CoRR, (2017)End-to-End Robotic Reinforcement Learning without Reward Engineering., , , , and . CoRR, (2019)Sloop: A pattern retrieval engine for individual animal identification., , , , , and . Pattern Recognit., 48 (4): 1059-1073 (2015)Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones., , , , , , , , , and . IEEE Robotics Autom. Lett., 6 (3): 4915-4922 (2021)AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data., , , , , and . CoRR, (2024)