Tom Erez

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Research direction：Continuous control, online optimization, physics modeling of contact-rich dynamics, intelligent motor behavior.

Papers52 papers

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dm_control: Software and Tasks for Continuous Control

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

Software Impacts, (2020): 100022

Cited by1Bibtex

Catch & Carry: reusable neural controllers for vision-guided whole-body tasks

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

ACM Trans. Graph., no. 4 (2020): 39

Cited by10EIBibtex

dm_control: Software and Tasks for Continuous Control

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

Cited by6Bibtex

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

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

Cited by2Bibtex

Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures

Jonathan Uesato,Ananya Kumar,Csaba Szepesvári,Tom Erez,Avraham Ruderman, Keith Anderson,Krishnamurthy Dvijotham,Nicolas Heess,Pushmeet Kohli

international conference on learning representations, (2019)

Cited by28EIBibtex

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

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

Cited by8Bibtex

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

Ivaylo Popov,Nicolas Heess,Timothy P. Lillicrap, Roland Hafner, Gabriel Barth-Maron, Matej Vecerik, Thomas Lampe,Yuval Tassa,Tom Erez,Martin A. Riedmiller

arXiv: Learning, (2018)

Cited by154EIBibtex

DeepMind Control Suite

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

CoRR, (2018)

Cited by134EIBibtex

Learning Awareness Models

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

ICLR, (2018)

Cited by25EIBibtex

Reinforcement and Imitation Learning for Diverse Visuomotor Skills

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

Robotics: Science and Systems, (2018)

Cited by156EIBibtex

Diego de Las Casas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, et al. Deepmind control suite

Y Tassa, Y Doron, A Muldal,T Erez, Y Li

Cited by130Bibtex

Learning to Perform Physics Experiments via Deep Reinforcement Learning

Misha Denil,Pulkit Agrawal, Tejas D. Kulkarni,Tom Erez,Peter Battaglia,Nando de Freitas

international conference on learning representations, (2017)

Cited by62EIBibtex

Emergence of Locomotion Behaviours in Rich Environments

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

arXiv: Artificial Intelligence, (2017)

Cited by516EIBibtex

learn continuous control with deep bestärkendem

Timothy Paul Lillcrap, Jonathan James Hunt, Alexander Pritzel,Nicolas Manfred Otto Heess,Tom Erez,Yuval Tassa,David Silver, Daniel Pieter Wierstra

Bibtex

Learning continuous control policies by stochastic value gradients

Nicolas Heess,Greg Wayne,David Silver,Timothy P. Lillicrap,Yuval Tassa,Tom Erez

neural information processing systems, pp.2944-2952, (2015)

Cited by307Bibtex

Learning Continuous Control Policies by Stochastic Value Gradients

Nicolas Heess,Gregory Wayne,David Silver,Timothy P. Lillicrap,Tom Erez,Yuval Tassa

NIPS, pp.2944-2952, (2015)

EIBibtex

Learning Continuous Control Policies by Stochastic Value Gradients

Nicolas Heess,Gregory Wayne,David Silver,Timothy P. Lillicrap,Tom Erez,Yuval Tassa

Annual Conference on Neural Information Processing Systems, (2015)

Cited by341EIBibtex

Learning Continuous Control Policies by Stochastic Value Gradients

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

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 28 (NIPS 2015), (2015)

Cited by374Bibtex

Continuous control with deep reinforcement learning

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

CoRR, (2015)

Cited by5364EIBibtex

Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX

Tom Erez,Yuval Tassa,Emanuel Todorov

IEEE International Conference on Robotics and Automation, (2015)

Cited by177EIBibtex

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Papers52 papers

Tom Erez