Postext - A Mind for Society. - Avishalom Shalit; Tom Erez; Anna Deters; Uri Hershberg; Eran Shir; Sorin Solomon (Adaptive Agents and Multi-Agent Systems, 2005)

Bipedal walking on rough terrain using manifold control. - Tom Erez; William D. Smart (IROS, 2007)

Receding Horizon Differential Dynamic Programming. - Yuval Tassa; Tom Erez; William D. Smart (NIPS, 2007)

Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators. - Yuval Tassa; Tom Erez (IEEE Trans. Neural Networks, 2007)

Coupling perception and action using minimax optimal control. - Tom Erez; William D. Smart (ADPRL, 2009)

Local Optimization for Simulation of Natural Motion. - Tom Erez (AAAI, 2010)

A Scalable Method for Solving High-Dimensional Continuous POMDPs Using Local Approximation. - Tom Erez; William D. Smart (UAI, 2010)

A POMDP Model of Eye-Hand Coordination. - Tom Erez; Julian J. Tramper; William D. Smart; Stan C. A. M. Gielen (AAAI, 2011)

Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts. - Tom Erez; Yuval Tassa; Emanuel Todorov (Robotics: Science and Systems, 2011)

Image-space constraints for controlling camera interpolation. - Ross T. Sowell; Tom Erez; Emily Feder; Cindy Grimm; Jianqi Xing; Leon Barrett (SI3D, 2011)

Trajectory optimization for domains with contacts using inverse dynamics. - Tom Erez; Emanuel Todorov (IROS, 2012)

Synthesis and stabilization of complex behaviors through online trajectory optimization. - Yuval Tassa; Tom Erez; Emanuel Todorov (IROS, 2012)

MuJoCo: A physics engine for model-based control. - Emanuel Todorov; Tom Erez; Yuval Tassa (IROS, 2012)

Value function approximation and model predictive control. - Mingyuan Zhong 002; M. Johnson; Yuval Tassa; Tom Erez; Emo Todorov (ADPRL, 2013)

Real-time behaviour synthesis for dynamic hand-manipulation. - Vikash Kumar; Yuval Tassa; Tom Erez; Emanuel Todorov (ICRA, 2014)

Physically-consistent sensor fusion in contact-rich behaviors. - Kendall Lowrey; Svetoslav Kolev; Yuval Tassa; Tom Erez; Emanuel Todorov (IROS, 2014)

Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX. - Tom Erez; Yuval Tassa; Emanuel Todorov (ICRA, 2015)

Learning Continuous Control Policies by Stochastic Value Gradients. - Nicolas Heess; Gregory Wayne; David Silver; Timothy P. Lillicrap; Tom Erez; Yuval Tassa (NIPS, 2015)

Continuous control with deep reinforcement learning. - Timothy P. Lillicrap; Jonathan J. Hunt; Alexander Pritzel; Nicolas Heess; Tom Erez; Yuval Tassa; David Silver; Daan Wierstra (ICLR (Poster), 2016)

Learning to Perform Physics Experiments via Deep Reinforcement Learning. - Misha Denil; Pulkit Agrawal 001; Tejas D. Kulkarni; Tom Erez; Peter W. Battaglia; Nando de Freitas (ICLR (Poster), 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 001; S. M. Ali Eslami; Martin A. Riedmiller; David Silver (CoRR, 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)

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 (Poster), 2018)

Reinforcement and Imitation Learning for Diverse Visuomotor Skills. - Yuke Zhu; Ziyu Wang 001; 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)

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)

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 (ICLR (Poster), 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)

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)

dm_control: Software and tasks for continuous control. - Saran Tunyasuvunakool; Alistair Muldal; Yotam Doron; Siqi Liu 002; Steven Bohez; Josh Merel; Tom Erez; Timothy P. Lillicrap; Nicolas Heess; Yuval Tassa (Softw. Impacts, 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)

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; et al. (CoRR, 2021)

Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo. - Taylor Howell; Nimrod Gileadi; Saran Tunyasuvunakool; Kevin Zakka; Tom Erez; Yuval Tassa (CoRR, 2022)

Language to Rewards for Robotic Skill Synthesis. - Wenhao Yu 003; 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; et al. (CoRL, 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)

Whole-Body Model-Predictive Control of Legged Robots with MuJoCo. - John Z. Zhang; Taylor A. Howell; Zeji Yi; Chaoyi Pan; Guanya Shi; Guannan Qu; Tom Erez; Yuval Tassa; Zachary Manchester (CoRR, 2025)

Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data. - Ben Moran; Mauro Comi; Arunkumar Byravan; Steven Bohez; Tom Erez; Zhibin Li; Leonard Hasenclever (CoRR, 2025)

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations. - Zilin Si; José Enrique Chen; M. Emre Karagozler; Antonia Bronars; Jonathan Hutchinson; Thomas Lampe; Nimrod Gileadi; Taylor Howell; Stefano Saliceti; Lukasz Barczyk; Ilan Olivarez Correa; Tom Erez; et al. (CoRR, 2025)