Reusable neural skill embeddings for vision-guided whole body movement and object manipulation

Nov 15, 2019
Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess


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Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer

Oct 21, 2019
Rae Jeong, Jackie Kay, Francesco Romano, Thomas Lampe, Tom Rothorl, Abbas Abdolmaleki, Tom Erez, Yuval Tassa, Francesco Nori


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Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures

Dec 04, 2018
Jonathan Uesato, Ananya Kumar, Csaba Szepesvari, Tom Erez, Avraham Ruderman, Keith Anderson, Krishmamurthy, Dvijotham, Nicolas Heess, Pushmeet Kohli


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Reinforcement and Imitation Learning for Diverse Visuomotor Skills

May 27, 2018
Yuke Zhu, Ziyu Wang, Josh Merel, Andrei Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess

* 13 pages, 6 figures, Published in RSS 2018 

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Learning Awareness Models

Apr 17, 2018
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gómez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil

* Accepted to ICLR 2018 

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DeepMind Control Suite

Jan 02, 2018
Yuval Tassa, Yotam Doron, Alistair Muldal, Tom Erez, Yazhe Li, Diego de Las Casas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, Timothy Lillicrap, Martin Riedmiller

* 24 pages, 7 figures, 2 tables 

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Learning to Perform Physics Experiments via Deep Reinforcement Learning

Aug 17, 2017
Misha Denil, Pulkit Agrawal, Tejas D Kulkarni, Tom Erez, Peter Battaglia, Nando de Freitas


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Emergence of Locomotion Behaviours in Rich Environments

Jul 10, 2017
Nicolas Heess, Dhruva TB, Srinivasan Sriram, Jay Lemmon, Josh Merel, Greg Wayne, Yuval Tassa, Tom Erez, Ziyu Wang, S. M. Ali Eslami, Martin Riedmiller, David Silver


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Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

Apr 10, 2017
Ivaylo Popov, Nicolas Heess, Timothy Lillicrap, Roland Hafner, Gabriel Barth-Maron, Matej Vecerik, Thomas Lampe, Yuval Tassa, Tom Erez, Martin Riedmiller

* 12 pages, 5 Figures 

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Continuous control with deep reinforcement learning

Feb 29, 2016
Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra

* 10 pages + supplementary 

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Learning Continuous Control Policies by Stochastic Value Gradients

Oct 30, 2015
Nicolas Heess, Greg Wayne, David Silver, Timothy Lillicrap, Yuval Tassa, Tom Erez

* 13 pages, NIPS 2015 

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A Scalable Method for Solving High-Dimensional Continuous POMDPs Using Local Approximation

Mar 15, 2012
Tom Erez, William D. Smart

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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