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Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL.

, , and . ICLR (Poster), OpenReview.net, (2019)

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One-Shot Composition of Vision-Based Skills from Demonstration., , , and . IROS, page 2643-2650. IEEE, (2019)Model-Based Reinforcement Learning for Atari., , , , , , , , , and 3 other author(s). CoRR, (2019)NoRML: No-Reward Meta Learning., , , , and . AAMAS, page 323-331. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Reasoning About Physical Interactions with Object-Oriented Prediction and Planning., , , , , and . ICLR (Poster), OpenReview.net, (2019)End-to-End Training of Deep Visuomotor Policies., , , and . J. Mach. Learn. Res., (2016)Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods., , , , , and . ICRA, page 6284-6291. IEEE, (2018)Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states., , , , and . ICRA, page 3373-3380. IEEE, (2017)Bridging text spotting and SLAM with junction features., , , , , , and . IROS, page 3701-3708. IEEE, (2015)Language-Driven Representation Learning for Robotics., , , , , , and . Robotics: Science and Systems, (2023)Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets., , , , , , , and . Robotics: Science and Systems, (2022)