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Hallucinative Topological Memory for Zero-Shot Visual Planning


Feb 27, 2020
Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar


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Generalized Hindsight for Reinforcement Learning


Feb 26, 2020
Alexander C. Li, Lerrel Pinto, Pieter Abbeel


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GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction


Feb 17, 2020
Kourosh Hakhamaneshi, Keertana Settaluri, Pieter Abbeel, Vladimir Stojanovic


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BADGR: An Autonomous Self-Supervised Learning-Based Navigation System


Feb 13, 2020
Gregory Kahn, Pieter Abbeel, Sergey Levine


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Preventing Imitation Learning with Adversarial Policy Ensembles


Jan 31, 2020
Albert Zhan, Stas Tiomkin, Pieter Abbeel


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Hierarchical Variational Imitation Learning of Control Programs


Dec 29, 2019
Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica


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Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards


Dec 21, 2019
Xingyu Lu, Stas Tiomkin, Pieter Abbeel


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AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos


Dec 10, 2019
Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine

* Under review at the International Conference on Robotics and Automation (ICRA), 2020 

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Learning Efficient Representation for Intrinsic Motivation


Dec 09, 2019
Ruihan Zhao, Stas Tiomkin, Pieter Abbeel


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Adaptive Online Planning for Continual Lifelong Learning


Dec 03, 2019
Kevin Lu, Igor Mordatch, Pieter Abbeel

* NeurIPS Deep RL 2019 

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