Yuval Tassa - RankMe

64 papers A* 8A 4C 1Misc 3Journal 36Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Achieving Human Level Competitive Robot Table Tennis. ICRA David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
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`	Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model. CoRR Vittorio La Barbera, Steven Bohez, Leonard Hasenclever, Yuval Tassa, John R. Hutchinson
2025	J	`jnl`	MuJoCo Playground. CoRR Kevin Zakka, Baruch Tabanpour, Qiayuan Liao, Mustafa Haiderbhai, Samuel Holt, Jing Yuan Luo, Arthur Allshire, Erik Frey, Koushil Sreenath, Lueder A. Kahrs, Carmelo Sferrazza, Yuval Tassa, Pieter Abbeel
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
2024	J	`jnl`	Achieving Human Level Competitive Robot Table Tennis. CoRR David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
2024	J	`jnl`	Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
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
2023	J	`jnl`	Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. CoRR Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Markus Wulfmeier, Jan Humplik, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
2023	J	`jnl`	RoboPianist: A Benchmark for High-Dimensional Robot Control. CoRR Kevin Zakka, Laura Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
2023	Misc	`conf`	RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. CoRL Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
2022	A*	`conf`	Evaluating Model-Based Planning and Planner Amortization for Continuous Control. ICLR Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin A. Riedmiller
2022	J	`jnl`	From motor control to team play in simulated humanoid football. Sci. Robotics Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2022	J	`jnl`	Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. CoRR Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess
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	Misc	`conf`	A Constrained Multi-Objective Reinforcement Learning Framework. CoRL Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell
2021	J	`jnl`	Evaluating model-based planning and planner amortization for continuous control. CoRR Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin A. Riedmiller
2021	J	`jnl`	From Motor Control to Team Play in Simulated Humanoid Football. CoRR Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2021	J	`jnl`	Learning Dynamics Models for Model Predictive Agents. CoRR Michael Lutter, Leonard Hasenclever, Arunkumar Byravan, Gabriel Dulac-Arnold, Piotr Trochim, Nicolas Heess, Josh Merel, Yuval Tassa
2021	—	`conf`	MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
2021	J	`jnl`	OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion. CoRR Vittorio La Barbera, Fabio Pardo, Yuval Tassa, Monica Daley, Christopher Richards, Petar Kormushev, John R. Hutchinson
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	A*	`conf`	Deep neuroethology of a virtual rodent. ICLR Josh Merel, Diego Aldarondo, Jesse Marshall, Yuval Tassa, Greg Wayne, Bence Olveczky
2020	J	`jnl`	Local Search for Policy Iteration in Continuous Control. CoRR Jost Tobias Springenberg, Nicolas Heess, Daniel J. Mankowitz, Josh Merel, Arunkumar Byravan, Abbas Abdolmaleki, Jackie Kay, Jonas Degrave, Julian Schrittwieser, Yuval Tassa, Jonas Buchli, Dan Belov, Martin A. Riedmiller
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`	Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. CoRR Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell
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
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`	Maximum a Posteriori Policy Optimisation. ICLR (Poster) Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa, Rémi Munos, Nicolas Heess, Martin A. Riedmiller
2018	J	`jnl`	Maximum a Posteriori Policy Optimisation. CoRR Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa, Rémi Munos, Nicolas Heess, Martin A. Riedmiller
2018	J	`jnl`	Relative Entropy Regularized Policy Iteration. CoRR Abbas Abdolmaleki, Jost Tobias Springenberg, Jonas Degrave, Steven Bohez, Yuval Tassa, Dan Belov, Nicolas Heess, Martin A. Riedmiller
2018	J	`jnl`	Safe Exploration in Continuous Action Spaces. CoRR Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerík, Todd Hester, Cosmin Paduraru, Yuval Tassa
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	J	`jnl`	Learning human behaviors from motion capture by adversarial imitation. CoRR Josh Merel, Yuval Tassa, Dhruva TB, Sriram Srinivasan, Jay Lemmon, Ziyu Wang, Greg Wayne, Nicolas Heess
2016	—	`conf`	Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. NIPS S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, Geoffrey E. Hinton
2016	J	`jnl`	Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. CoRR S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, Koray Kavukcuoglu, Geoffrey E. Hinton
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 and Transfer of Modulated Locomotor Controllers. CoRR Nicolas Heess, Gregory Wayne, Yuval Tassa, Timothy P. Lillicrap, Martin A. Riedmiller, David Silver
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
2015	A	`conf`	Whole-body model-predictive control applied to the HRP-2 humanoid. IROS Jonas Koenemann, Andrea Del Prete, Yuval Tassa, Emanuel Todorov, Olivier Stasse, Maren Bennewitz, Nicolas Mansard
2014	A*	`conf`	Control-limited differential dynamic programming. ICRA Yuval Tassa, Nicolas Mansard, Emo 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`	STAC: Simultaneous tracking and calibration. Humanoids Tingfan Wu, Yuval Tassa, Vikash Kumar, Javier R. Movellan, Emanuel Todorov
2013	—	`conf`	Value function approximation and model predictive control. ADPRL Mingyuan Zhong, M. Johnson, Yuval Tassa, Tom Erez, Emo Todorov
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
2011	—	`conf`	High-order local dynamic programming. ADPRL Yuval Tassa, Emanuel Todorov
2011	—	`conf`	Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts. Robotics: Science and Systems Tom Erez, Yuval Tassa, Emanuel Todorov
2010	—	`conf`	Stochastic Complementarity for Local Control of Discontinuous Dynamics. Robotics: Science and Systems Yuval Tassa, Emo Todorov
2010	C	`conf`	Stochastic Differential Dynamic Programming. ACC Evangelos A. Theodorou, Yuval Tassa, Emo Todorov
2009	—	`conf`	Iterative local dynamic programming. ADPRL Emanuel Todorov, Yuval Tassa
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