Tom Erez - RankMe

47 papers A* 6A 6Misc 1Journal 23Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Efficient Online Learning of Contact Force Models for Connector Insertion. ICRA Kevin Tracy, Zachary Manchester, Ajinkya Jain, Keegan Go, Stefan Schaal, Tom Erez, Yuval Tassa
2025	J	`jnl`	ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations. CoRR 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, Mohit Shridhar, Murilo Fernandes Martins, Konstantinos Bousmalis, Nicolas Heess, Francesco Nori, Maria Bauzá Villalonga
2025	J	`jnl`	Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data. CoRR Ben Moran, Mauro Comi, Arunkumar Byravan, Steven Bohez, Tom Erez, Zhibin Li, Leonard Hasenclever
2025	J	`jnl`	The Trajectory Bundle Method: Unifying Sequential-Convex Programming and Sampling-Based Trajectory Optimization. CoRR Kevin Tracy, John Z. Zhang, Jon Arrizabalaga, Stefan Schaal, Yuval Tassa, Tom Erez, Zachary Manchester
2025	J	`jnl`	Whole-Body Model-Predictive Control of Legged Robots with MuJoCo. CoRR John Z. Zhang, Taylor A. Howell, Zeji Yi, Chaoyi Pan, Guanya Shi, Guannan Qu, Tom Erez, Yuval Tassa, Zachary Manchester
2023	J	`jnl`	Efficient Online Learning of Contact Force Models for Connector Insertion. CoRR Kevin Tracy, Zachary Manchester, Ajinkya Jain, Keegan Go, Stefan Schaal, Tom Erez, Yuval Tassa
2023	Misc	`conf`	Language to Rewards for Robotic Skill Synthesis. CoRL 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
2023	J	`jnl`	Language to Rewards for Robotic Skill Synthesis. CoRR 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
2022	J	`jnl`	Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo. CoRR Taylor Howell, Nimrod Gileadi, Saran Tunyasuvunakool, Kevin Zakka, Tom Erez, Yuval Tassa
2021	J	`jnl`	Shaking the foundations: delusions in sequence models for interaction and control. CoRR 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
2020	J	`jnl`	Catch & Carry: reusable neural controllers for vision-guided whole-body tasks. ACM Trans. Graph. Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess
2020	J	`jnl`	dm_control: Software and Tasks for Continuous Control. CoRR Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess
2020	J	`jnl`	dm_control: Software and tasks for continuous control. Softw. Impacts Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess, Yuval Tassa
2019	J	`jnl`	Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer. CoRR Rae Jeong, Jackie Kay, Francesco Romano, Thomas Lampe, Thomas Rothörl, Abbas Abdolmaleki, Tom Erez, Yuval Tassa, Francesco Nori
2019	J	`jnl`	Reusable neural skill embeddings for vision-guided whole body movement and object manipulation. CoRR Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess
2019	—	`conf`	Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. ICLR (Poster) Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli
2018	J	`jnl`	DeepMind Control Suite. CoRR 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
2018	—	`conf`	Learning Awareness Models. ICLR (Poster) Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
2018	J	`jnl`	Learning Awareness Models. CoRR Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
2018	—	`conf`	Reinforcement and Imitation Learning for Diverse Visuomotor Skills. Robotics: Science and Systems Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
2018	J	`jnl`	Reinforcement and Imitation Learning for Diverse Visuomotor Skills. CoRR Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
2018	J	`jnl`	Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. CoRR Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli
2017	J	`jnl`	Data-efficient Deep Reinforcement Learning for Dexterous Manipulation. CoRR Ivaylo Popov, Nicolas Heess, Timothy P. Lillicrap, Roland Hafner, Gabriel Barth-Maron, Matej Vecerík, Thomas Lampe, Yuval Tassa, Tom Erez, Martin A. Riedmiller
2017	J	`jnl`	Emergence of Locomotion Behaviours in Rich Environments. CoRR 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
2017	—	`conf`	Learning to Perform Physics Experiments via Deep Reinforcement Learning. ICLR (Poster) Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
2016	A*	`conf`	Continuous control with deep reinforcement learning. ICLR (Poster) Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra
2016	J	`jnl`	Learning to Perform Physics Experiments via Deep Reinforcement Learning. CoRR Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
2015	—	`conf`	Learning Continuous Control Policies by Stochastic Value Gradients. NIPS Nicolas Heess, Gregory Wayne, David Silver, Timothy P. Lillicrap, Tom Erez, Yuval Tassa
2015	J	`jnl`	Learning Continuous Control Policies by Stochastic Value Gradients. CoRR Nicolas Heess, Greg Wayne, David Silver, Timothy P. Lillicrap, Yuval Tassa, Tom Erez
2015	A*	`conf`	Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX. ICRA Tom Erez, Yuval Tassa, Emanuel Todorov
2014	A	`conf`	Physically-consistent sensor fusion in contact-rich behaviors. IROS Kendall Lowrey, Svetoslav Kolev, Yuval Tassa, Tom Erez, Emanuel Todorov
2014	A*	`conf`	Real-time behaviour synthesis for dynamic hand-manipulation. ICRA Vikash Kumar, Yuval Tassa, Tom Erez, Emanuel Todorov
2013	—	`conf`	Value function approximation and model predictive control. ADPRL Mingyuan Zhong, M. Johnson, Yuval Tassa, Tom Erez, Emo Todorov
2012	J	`jnl`	A Scalable Method for Solving High-Dimensional Continuous POMDPs Using Local Approximation CoRR Tom Erez, William D. Smart
2012	A	`conf`	MuJoCo: A physics engine for model-based control. IROS Emanuel Todorov, Tom Erez, Yuval Tassa
2012	A	`conf`	Synthesis and stabilization of complex behaviors through online trajectory optimization. IROS Yuval Tassa, Tom Erez, Emanuel Todorov
2012	A	`conf`	Trajectory optimization for domains with contacts using inverse dynamics. IROS Tom Erez, Emanuel Todorov
2011	A*	`conf`	A POMDP Model of Eye-Hand Coordination. AAAI Tom Erez, Julian J. Tramper, William D. Smart, Stan C. A. M. Gielen
2011	—	`conf`	Image-space constraints for controlling camera interpolation. SI3D Ross T. Sowell, Tom Erez, Emily Feder, Cindy Grimm, Jianqi Xing, Leon Barrett
2011	—	`conf`	Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts. Robotics: Science and Systems Tom Erez, Yuval Tassa, Emanuel Todorov
2010	A	`conf`	A Scalable Method for Solving High-Dimensional Continuous POMDPs Using Local Approximation. UAI Tom Erez, William D. Smart
2010	A*	`conf`	Local Optimization for Simulation of Natural Motion. AAAI Tom Erez
2009	—	`conf`	Coupling perception and action using minimax optimal control. ADPRL Tom Erez, William D. Smart
2007	A	`conf`	Bipedal walking on rough terrain using manifold control. IROS Tom Erez, William D. Smart
2007	J	`jnl`	Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators. IEEE Trans. Neural Networks Yuval Tassa, Tom Erez
2007	—	`conf`	Receding Horizon Differential Dynamic Programming. NIPS Yuval Tassa, Tom Erez, William D. Smart
2005	—	`conf`	Postext - A Mind for Society. Adaptive Agents and Multi-Agent Systems Avishalom Shalit, Tom Erez, Anna Deters, Uri Hershberg, Eran Shir, Sorin Solomon