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One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors


Aug 11, 2016
Justin Fu, Sergey Levine, Pieter Abbeel


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InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets


Jun 12, 2016
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel


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Benchmarking Deep Reinforcement Learning for Continuous Control


May 27, 2016
Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel

* 14 pages, ICML 2016 

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Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization


May 27, 2016
Chelsea Finn, Sergey Levine, Pieter Abbeel

* International Conference on Machine Learning (ICML), 2016, to appear 

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End-to-End Training of Deep Visuomotor Policies


Apr 19, 2016
Sergey Levine, Chelsea Finn, Trevor Darrell, Pieter Abbeel

* updating with revisions for JMLR final version 

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Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration


Mar 15, 2016
Christopher Xie, Sachin Patil, Teodor Moldovan, Sergey Levine, Pieter Abbeel

* 8 pages 

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Deep Spatial Autoencoders for Visuomotor Learning


Mar 01, 2016
Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel

* Published in the International Conference on Robotics and Automation (ICRA) 

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Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search


Feb 16, 2016
Tianhao Zhang, Gregory Kahn, Sergey Levine, Pieter Abbeel


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Gradient Estimation Using Stochastic Computation Graphs


Jan 05, 2016
John Schulman, Nicolas Heess, Theophane Weber, Pieter Abbeel

* Advances in Neural Information Processing Systems 28 (NIPS 2015) 

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Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models


Nov 19, 2015
Bradly C. Stadie, Sergey Levine, Pieter Abbeel


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