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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)Bridging text spotting and SLAM with junction features., , , , , , and . IROS, page 3701-3708. IEEE, (2015)Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states., , , , and . ICRA, page 3373-3380. IEEE, (2017)Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods., , , , , and . ICRA, page 6284-6291. IEEE, (2018)One-Shot Composition of Vision-Based Skills from Demonstration., , , and . IROS, page 2643-2650. IEEE, (2019)Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning., , , , , , and . CoRL, volume 100 of Proceedings of Machine Learning Research, page 1094-1100. PMLR, (2019)Memory-Based Model Editing at Scale., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 15817-15831. PMLR, (2022)Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 26484-26516. PMLR, (2022)How to Leverage Unlabeled Data in Offline Reinforcement Learning., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 25611-25635. PMLR, (2022)