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)

Iterative local dynamic programming. - Emanuel Todorov; Yuval Tassa (ADPRL, 2009)

Stochastic Differential Dynamic Programming. - Evangelos A. Theodorou; Yuval Tassa; Emo Todorov (ACC, 2010)

Stochastic Complementarity for Local Control of Discontinuous Dynamics. - Yuval Tassa; Emo Todorov (Robotics: Science and Systems, 2010)

High-order local dynamic programming. - Yuval Tassa; Emanuel Todorov (ADPRL, 2011)

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

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)

STAC: Simultaneous tracking and calibration. - Tingfan Wu; Yuval Tassa; Vikash Kumar; Javier R. Movellan; Emanuel Todorov (Humanoids, 2013)

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

Control-limited differential dynamic programming. - Yuval Tassa; Nicolas Mansard; Emo 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)

Whole-body model-predictive control applied to the HRP-2 humanoid. - Jonas Koenemann; Andrea Del Prete; Yuval Tassa; Emanuel Todorov; Olivier Stasse; Maren Bennewitz; Nicolas Mansard (IROS, 2015)

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

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. - S. M. Ali Eslami; Nicolas Heess; Theophane Weber; Yuval Tassa; David Szepesvari; Koray Kavukcuoglu; Geoffrey E. Hinton (NIPS, 2016)

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. - S. M. Ali Eslami; Nicolas Heess; Theophane Weber; Yuval Tassa; Koray Kavukcuoglu; Geoffrey E. Hinton (CoRR, 2016)

Learning and Transfer of Modulated Locomotor Controllers. - Nicolas Heess; Gregory Wayne; Yuval Tassa; Timothy P. Lillicrap; Martin A. Riedmiller; David Silver (CoRR, 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 (ICLR (Poster), 2016)

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)

Learning human behaviors from motion capture by adversarial imitation. - Josh Merel; Yuval Tassa; Dhruva TB; Sriram Srinivasan 005; Jay Lemmon; Ziyu Wang 001; Greg Wayne; Nicolas Heess (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)

Maximum a Posteriori Policy Optimisation. - Abbas Abdolmaleki; Jost Tobias Springenberg; Yuval Tassa; Rémi Munos; Nicolas Heess; Martin A. Riedmiller (ICLR (Poster), 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 (ICLR (Poster), 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)

Safe Exploration in Continuous Action Spaces. - Gal Dalal; Krishnamurthy Dvijotham; Matej Vecerík; Todd Hester; Cosmin Paduraru; Yuval Tassa (CoRR, 2018)

Relative Entropy Regularized Policy Iteration. - Abbas Abdolmaleki; Jost Tobias Springenberg; Jonas Degrave; Steven Bohez; Yuval Tassa; Dan Belov; Nicolas Heess; Martin A. Riedmiller (CoRR, 2018)

Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. - Sandy H. Huang; Martina Zambelli; Jackie Kay; Murilo F. Martins; Yuval Tassa; Patrick M. Pilarski; Raia Hadsell (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)

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)

Deep neuroethology of a virtual rodent. - Josh Merel; Diego Aldarondo; Jesse Marshall; Yuval Tassa; Greg Wayne; Bence Olveczky (ICLR, 2020)

Local Search for Policy Iteration in Continuous Control. - 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; et al. (CoRR, 2020)

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)

A Constrained Multi-Objective Reinforcement Learning Framework. - 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 (CoRL, 2021)

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. - Vittorio Caggiano; Guillaume Durandau; Huawei Wang 003; Alberto Silvio Chiappa; Alexander Mathis; Pablo Tano; Nisheet Patel; Alexandre Pouget; Pierre Schumacher; Georg Martius; Daniel F. B. Haeufle; Yiran Geng; et al. (NeurIPS (Competition and Demos), 2021)

Learning Dynamics Models for Model Predictive Agents. - Michael Lutter; Leonard Hasenclever; Arunkumar Byravan; Gabriel Dulac-Arnold; Piotr Trochim; Nicolas Heess; Josh Merel; Yuval Tassa (CoRR, 2021)

OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion. - Vittorio La Barbera; Fabio Pardo; Yuval Tassa; Monica Daley; Christopher Richards; Petar Kormushev; John R. Hutchinson (CoRR, 2021)

Evaluating Model-Based Planning and Planner Amortization for Continuous Control. - 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 (ICLR, 2022)

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. - Steven Bohez; Saran Tunyasuvunakool; Philemon Brakel; Fereshteh Sadeghi; Leonard Hasenclever; Yuval Tassa; Emilio Parisotto; Jan Humplik; Tuomas Haarnoja; Roland Hafner; Markus Wulfmeier; Michael Neunert; et al. (CoRR, 2022)

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

From motor control to team play in simulated humanoid football. - Siqi Liu 002; Guy Lever; Zhe Wang 055; Josh Merel; S. M. Ali Eslami; Daniel Hennes; Wojciech M. Czarnecki; Yuval Tassa; Shayegan Omidshafiei; Abbas Abdolmaleki; Noah Y. Siegel; Leonard Hasenclever; et al. (Sci. Robotics, 2022)

Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football". - Siqi Liu 002; Guy Lever; Zhe Wang 055; Josh Merel; S. M. Ali Eslami; Daniel Hennes; Wojciech Czarnecki 001; Yuval Tassa; Shayegan Omidshafiei; Abbas Abdolmaleki; Noah Y. Siegel; Leonard Hasenclever; et al. (Zenodo, 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)

RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. - Kevin Zakka; Philipp Wu; Laura M. Smith; Nimrod Gileadi; Taylor Howell; Xue Bin Peng; Sumeet Singh; Yuval Tassa; Pete Florence; Andy Zeng 001; Pieter Abbeel (CoRL, 2023)

RoboPianist: A Benchmark for High-Dimensional Robot Control. - Kevin Zakka; Laura M. Smith; Nimrod Gileadi; Taylor A. Howell; Xue Bin Peng; Sumeet Singh; Yuval Tassa; Pete Florence; Andy Zeng 001; Pieter Abbeel (CoRR, 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)

Achieving Human Level Competitive Robot Table Tennis. - 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; et al. (CoRR, 2024)

Learning agile soccer skills for a bipedal robot with deep reinforcement learning. - 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; et al. (Sci. Robotics, 2024)

Data Release for: Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. - 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; et al. (Zenodo, 2024)

MuJoCo Playground. - 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; et al. (CoRR, 2025)

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)

Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model. - Vittorio La Barbera; Steven Bohez; Leonard Hasenclever; Yuval Tassa; John R. Hutchinson (CoRR, 2025)