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Lyceum: An efficient and scalable ecosystem for robot learning


Jan 21, 2020
Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha Srinivasa, Emanuel Todorov


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Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control


Jan 28, 2019
Kendall Lowrey, Aravind Rajeswaran, Sham Kakade, Emanuel Todorov, Igor Mordatch

* The first two authors contributed equally. Accepted at ICLR 2019. Supplementary videos available at: https://sites.google.com/view/polo-mpc 

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Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations


Jun 26, 2018
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, Sergey Levine

* Accepted for presentation at Robotics: Science and Systems (RSS) 2018. Project page: https://sites.google.com/view/deeprl-dexterous-manipulation 

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Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system


Mar 28, 2018
Kendall Lowrey, Svetoslav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov

* Accepted at IEEE SIMPAR 2018. Project page: https://sites.google.com/view/phantomsim2real 

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Towards Generalization and Simplicity in Continuous Control


Mar 20, 2018
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham Kakade

* NIPS 2017, Project page: https://sites.google.com/view/simple-pol 

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Graphical Newton


Oct 08, 2017
Akshay Srinivasan, Emanuel Todorov


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Learning Dexterous Manipulation Policies from Experience and Imitation


Nov 15, 2016
Vikash Kumar, Abhishek Gupta, Emanuel Todorov, Sergey Levine

* Initial draft for a journal submission 

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Universal Convexification via Risk-Aversion


Jun 03, 2014
Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov


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