Tom Erez

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 22

Top Topics

Control Policies

Simulation Tools

Reinforcement Learning

Top Venues

Publications

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
Language to Rewards for Robotic Skill Synthesis. CoRL (2023)
Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montse 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
Language to Rewards for Robotic Skill Synthesis. CoRR (2023)
Kevin Tracy, Zachary Manchester, Ajinkya Jain, Keegan Go, Stefan Schaal, Tom Erez, Yuval Tassa
Efficient Online Learning of Contact Force Models for Connector Insertion. CoRR (2023)
Taylor Howell, Nimrod Gileadi, Saran Tunyasuvunakool, Kevin Zakka, Tom Erez, Yuval Tassa
Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo. CoRR (2022)
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
Shaking the foundations: delusions in sequence models for interaction and control. CoRR (2021)
Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess
Catch & Carry: reusable neural controllers for vision-guided whole-body tasks. ACM Trans. Graph. 39 (4) (2020)
Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess, Yuval Tassa
dm_control: Software and tasks for continuous control. Softw. Impacts 6 (2020)
Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess
dm_control: Software and Tasks for Continuous Control. CoRR (2020)
Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess
Reusable neural skill embeddings for vision-guided whole body movement and object manipulation. CoRR (2019)
Rae Jeong, Jackie Kay, Francesco Romano, Thomas Lampe, Thomas Rothörl, Abbas Abdolmaleki, Tom Erez, Yuval Tassa, Francesco Nori
Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer. CoRR (2019)
Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. ICLR (Poster) (2019)
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
DeepMind Control Suite. CoRR (2018)
Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
Reinforcement and Imitation Learning for Diverse Visuomotor Skills. Robotics: Science and Systems (2018)
Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
Reinforcement and Imitation Learning for Diverse Visuomotor Skills. CoRR (2018)
Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. CoRR (2018)
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
Learning Awareness Models. ICLR (Poster) (2018)
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
Learning Awareness Models. CoRR (2018)
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
Emergence of Locomotion Behaviours in Rich Environments. CoRR (2017)
Ivaylo Popov, Nicolas Heess, Timothy P. Lillicrap, Roland Hafner, Gabriel Barth-Maron, Matej Vecerík, Thomas Lampe, Yuval Tassa, Tom Erez, Martin A. Riedmiller
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation. CoRR (2017)
Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
Learning to Perform Physics Experiments via Deep Reinforcement Learning. ICLR (Poster) (2017)
Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
Learning to Perform Physics Experiments via Deep Reinforcement Learning. CoRR (2016)
Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra
Continuous control with deep reinforcement learning. ICLR (Poster) (2016)
Nicolas Heess, Greg Wayne, David Silver, Timothy P. Lillicrap, Yuval Tassa, Tom Erez
Learning Continuous Control Policies by Stochastic Value Gradients. CoRR (2015)
Nicolas Heess, Gregory Wayne, David Silver, Timothy P. Lillicrap, Tom Erez, Yuval Tassa
Learning Continuous Control Policies by Stochastic Value Gradients. NIPS (2015)
Tom Erez, Yuval Tassa, Emanuel Todorov
Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX. ICRA (2015)
Vikash Kumar, Yuval Tassa, Tom Erez, Emanuel Todorov
Real-time behaviour synthesis for dynamic hand-manipulation. ICRA (2014)
Kendall Lowrey, Svetoslav Kolev, Yuval Tassa, Tom Erez, Emanuel Todorov
Physically-consistent sensor fusion in contact-rich behaviors. IROS (2014)
Mingyuan Zhong, M. Johnson, Yuval Tassa, Tom Erez, Emo Todorov
Value function approximation and model predictive control. ADPRL (2013)
Tom Erez, William D. Smart
A Scalable Method for Solving High-Dimensional Continuous POMDPs Using Local Approximation CoRR (2012)
Tom Erez, Emanuel Todorov
Trajectory optimization for domains with contacts using inverse dynamics. IROS (2012)
Emanuel Todorov, Tom Erez, Yuval Tassa
MuJoCo: A physics engine for model-based control. IROS (2012)
Yuval Tassa, Tom Erez, Emanuel Todorov
Synthesis and stabilization of complex behaviors through online trajectory optimization. IROS (2012)
Tom Erez, Julian J. Tramper, William D. Smart, Stan C. A. M. Gielen
A POMDP Model of Eye-Hand Coordination. AAAI (2011)
Tom Erez, Yuval Tassa, Emanuel Todorov
Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts. Robotics: Science and Systems (2011)
Ross T. Sowell, Tom Erez, Emily Feder, Cindy Grimm, Jianqi Xing, Leon Barrett
Image-space constraints for controlling camera interpolation. SI3D (2011)
Tom Erez
Local Optimization for Simulation of Natural Motion. AAAI (2010)
Tom Erez, William D. Smart
A Scalable Method for Solving High-Dimensional Continuous POMDPs Using Local Approximation. UAI (2010)
Tom Erez, William D. Smart
Coupling perception and action using minimax optimal control. ADPRL (2009)
Yuval Tassa, Tom Erez, William D. Smart
Receding Horizon Differential Dynamic Programming. NIPS (2007)
Yuval Tassa, Tom Erez
Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators. IEEE Trans. Neural Networks 18 (4) (2007)
Tom Erez, William D. Smart
Bipedal walking on rough terrain using manifold control. IROS (2007)
Avishalom Shalit, Tom Erez, Anna Deters, Uri Hershberg, Eran Shir, Sorin Solomon
Postext - A Mind for Society. Adaptive Agents and Multi-Agent Systems (2005)