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Local Search for Policy Iteration in Continuous Control

Oct 12, 2020
Jost Tobias Springenberg, Nicolas Heess, Daniel Mankowitz, Josh Merel, Arunkumar Byravan, Abbas Abdolmaleki, Jackie Kay, Jonas Degrave, Julian Schrittwieser, Yuval Tassa, Jonas Buchli, Dan Belov, Martin Riedmiller


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dm_control: Software and Tasks for Continuous Control

Jun 22, 2020
Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy Lillicrap, Nicolas Heess

* arXiv admin note: text overlap with arXiv:1801.00690 

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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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Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning

Mar 20, 2019
Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell


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Relative Entropy Regularized Policy Iteration

Dec 05, 2018
Abbas Abdolmaleki, Jost Tobias Springenberg, Jonas Degrave, Steven Bohez, Yuval Tassa, Dan Belov, Nicolas Heess, Martin Riedmiller


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Maximum a Posteriori Policy Optimisation

Jun 14, 2018
Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa, Remi Munos, Nicolas Heess, Martin Riedmiller


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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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Safe Exploration in Continuous Action Spaces

Jan 26, 2018
Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerik, Todd Hester, Cosmin Paduraru, Yuval Tassa


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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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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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Learning human behaviors from motion capture by adversarial imitation

Jul 10, 2017
Josh Merel, Yuval Tassa, Dhruva TB, Sriram Srinivasan, Jay Lemmon, Ziyu Wang, Greg Wayne, Nicolas Heess


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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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Learning and Transfer of Modulated Locomotor Controllers

Oct 17, 2016
Nicolas Heess, Greg Wayne, Yuval Tassa, Timothy Lillicrap, Martin Riedmiller, David Silver

* Supplemental video available at https://youtu.be/sboPYvhpraQ 

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Attend, Infer, Repeat: Fast Scene Understanding with Generative Models

Aug 12, 2016
S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, Geoffrey E. Hinton


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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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