Tom Erez

According to our database, Tom Erez authored at least 34 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Efficient Online Learning of Contact Force Models for Connector Insertion.

Kevin Tracy, Zachary Manchester, Ajinkya Jain, Keegan Go, Stefan Schaal, Tom Erez, Yuval Tassa

CoRR, 2023

Language to Rewards for Robotic Skill Synthesis.

Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia

Proceedings of the Conference on Robot Learning, 2023

2022

Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo.

Taylor Howell, Nimrod Gileadi, Saran Tunyasuvunakool, Kevin Zakka, Tom Erez, Yuval Tassa

CoRR, 2022

2021

Shaking the foundations: delusions in sequence models for interaction and control.

Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Pérolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott E. Reed, Marcus Hutter, Nando de Freitas, Shane Legg

CoRR, 2021

2020

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., 2020

dm_control: Software and tasks for continuous control.

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

Softw. Impacts, 2020

2019

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

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

CoRR, 2019

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

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

CoRR, 2019

Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

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

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

Proceedings of the Robotics: Science and Systems XIV, 2018

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

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation.

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

CoRR, 2017

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

CoRR, 2017

Learning to Perform Physics Experiments via Deep Reinforcement Learning.

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

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Continuous control with deep reinforcement learning.

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

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

Learning Continuous Control Policies by Stochastic Value Gradients.

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

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

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

Tom Erez, Yuval Tassa, Emanuel Todorov

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Physically-consistent sensor fusion in contact-rich behaviors.

Kendall Lowrey, Svetoslav Kolev, Yuval Tassa, Tom Erez, Emanuel Todorov

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Real-time behaviour synthesis for dynamic hand-manipulation.

Vikash Kumar, Yuval Tassa, Tom Erez, Emanuel Todorov

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Value function approximation and model predictive control.

Mingyuan Zhong, M. Johnson, Yuval Tassa, Tom Erez, Emo Todorov

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012

MuJoCo: A physics engine for model-based control.

Emanuel Todorov, Tom Erez, Yuval Tassa

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Synthesis and stabilization of complex behaviors through online trajectory optimization.

Yuval Tassa, Tom Erez, Emanuel Todorov

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Trajectory optimization for domains with contacts using inverse dynamics.

Tom Erez, Emanuel Todorov

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011

Image-space constraints for controlling camera interpolation.

Ross T. Sowell, Tom Erez, Emily Feder, Cindy Grimm, Jianqi Xing, Leon Barrett

Proceedings of the Symposium on Interactive 3D Graphics and Games, 2011

Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts.

Tom Erez, Yuval Tassa, Emanuel Todorov

Proceedings of the Robotics: Science and Systems VII, 2011

A POMDP Model of Eye-Hand Coordination.

Tom Erez, Julian J. Tramper, William D. Smart, Stan C. A. M. Gielen

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

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

Tom Erez, William D. Smart

Proceedings of the UAI 2010, 2010

Local Optimization for Simulation of Natural Motion.

Tom Erez

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Coupling perception and action using minimax optimal control.

Tom Erez, William D. Smart

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2007

Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators.

Yuval Tassa, Tom Erez

IEEE Trans. Neural Networks, 2007

Receding Horizon Differential Dynamic Programming.

Yuval Tassa, Tom Erez, William D. Smart

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Bipedal walking on rough terrain using manifold control.

Tom Erez, William D. Smart

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2005

Postext - A Mind for Society.

Avishalom Shalit, Tom Erez, Anna Deters, Uri Hershberg, Eran Shir, Sorin Solomon

Proceedings of the Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning, 2005