Yuval Tassa

Orcid: 0000-0002-1197-288X

According to our database1, Yuval Tassa authored at least 49 papers between 2007 and 2023.

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Bibliography

2023
Efficient Online Learning of Contact Force Models for Connector Insertion.
CoRR, 2023

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning.
CoRR, 2023

RoboPianist: A Benchmark for High-Dimensional Robot Control.
CoRR, 2023

RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2023


2022
From motor control to team play in simulated humanoid football.
Sci. Robotics, 2022

Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo.
CoRR, 2022

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors.
CoRR, 2022

Evaluating Model-Based Planning and Planner Amortization for Continuous Control.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion.
CoRR, 2021

Learning Dynamics Models for Model Predictive Agents.
CoRR, 2021


A Constrained Multi-Objective Reinforcement Learning Framework.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Catch & Carry: reusable neural controllers for vision-guided whole-body tasks.
ACM Trans. Graph., 2020

dm_control: Software and tasks for continuous control.
Softw. Impacts, 2020

Local Search for Policy Iteration in Continuous Control.
CoRR, 2020

Deep neuroethology of a virtual rodent.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Reusable neural skill embeddings for vision-guided whole body movement and object manipulation.
CoRR, 2019

Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer.
CoRR, 2019

Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning.
CoRR, 2019

2018
Relative Entropy Regularized Policy Iteration.
CoRR, 2018

Safe Exploration in Continuous Action Spaces.
CoRR, 2018

DeepMind Control Suite.
CoRR, 2018

Learning Awareness Models.
Proceedings of the 6th International Conference on Learning Representations, 2018

Maximum a Posteriori Policy Optimisation.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation.
CoRR, 2017

Learning human behaviors from motion capture by adversarial imitation.
CoRR, 2017

Emergence of Locomotion Behaviours in Rich Environments.
CoRR, 2017

2016
Continuous control with deep reinforcement learning.
Proceedings of the 4th International Conference on Learning Representations, 2016

Learning and Transfer of Modulated Locomotor Controllers.
CoRR, 2016

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.
CoRR, 2016

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Learning Continuous Control Policies by Stochastic Value Gradients.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Whole-body model-predictive control applied to the HRP-2 humanoid.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Physically-consistent sensor fusion in contact-rich behaviors.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Control-limited differential dynamic programming.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Real-time behaviour synthesis for dynamic hand-manipulation.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
STAC: Simultaneous tracking and calibration.
Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

Value function approximation and model predictive control.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
MuJoCo: A physics engine for model-based control.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Synthesis and stabilization of complex behaviors through online trajectory optimization.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts.
Proceedings of the Robotics: Science and Systems VII, 2011

High-order local dynamic programming.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Stochastic Complementarity for Local Control of Discontinuous Dynamics.
Proceedings of the Robotics: Science and Systems VI, 2010

Stochastic Differential Dynamic Programming.
Proceedings of the American Control Conference, 2010

2009
Iterative local dynamic programming.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2007
Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators.
IEEE Trans. Neural Networks, 2007

Receding Horizon Differential Dynamic Programming.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007


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