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Pieter Abbeel

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Domain Randomization for Active Pose Estimation

Mar 10, 2019
Xinyi Ren, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Abhishek Gupta, Aviv Tamar, Pieter Abbeel

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Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

Feb 27, 2019
Anusha Nagabandi, Ignasi Clavera, Simin Liu, Ronald S. Fearing, Pieter Abbeel, Sergey Levine, Chelsea Finn

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SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning

Feb 20, 2019
Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine

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Preferences Implicit in the State of the World

Feb 12, 2019
Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander, Pieter Abbeel, Anca Dragan

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Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight

Feb 11, 2019
Katie Kang, Suneel Belkhale, Gregory Kahn, Pieter Abbeel, Sergey Levine

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Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

Feb 01, 2019
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel

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Visual Hindsight Experience Replay

Jan 31, 2019
Himanshu Sahni, Toby Buckley, Pieter Abbeel, Ilya Kuzovkin

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Soft Actor-Critic Algorithms and Applications

Jan 29, 2019
Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine

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Guiding Policies with Language via Meta-Learning

Nov 19, 2018
John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, John DeNero, Pieter Abbeel, Sergey Levine

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