Yuval Tassa
Yuval Tassa
Research Scientist, Google DeepMind
Verified email at google.com - Homepage
TitleCited byYear
Continuous control with deep reinforcement learning
TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa, D Silver, ...
arXiv preprint arXiv:1509.02971, 2015
25752015
MuJoCo: A physics engine for model-based control
E Todorov, T Erez, Y Tassa
IROS, 2012
9442012
Synthesis and Stabilization of Complex Behaviors through Online Trajectory Optimization
Y Tassa, T Erez, E Todorov
IROS 2012, 2012
3592012
Emergence of locomotion behaviours in rich environments
N Heess, S Sriram, J Lemmon, J Merel, G Wayne, Y Tassa, T Erez, ...
arXiv preprint arXiv:1707.02286, 2017
2822017
Attend, infer, repeat: Fast scene understanding with generative models
SMA Eslami, N Heess, T Weber, Y Tassa, D Szepesvari, GE Hinton
Advances in Neural Information Processing Systems, 3225-3233, 2016
233*2016
Learning continuous control policies by stochastic value gradients
N Heess, G Wayne, D Silver, T Lillicrap, T Erez, Y Tassa
Advances in Neural Information Processing Systems, 2944-2952, 2015
2312015
Control-limited differential dynamic programming
Y Tassa, N Mansard, E Todorov
2014 IEEE International Conference on Robotics and Automation (ICRA), 1168-1175, 2014
1902014
Simulation Tools for Model-Based Robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX
T Erez, Y Tassa, E Todorov
ICRA 2015, 0
109*
Receding horizon differential dynamic programming
Y Tassa, T Erez, WD Smart
Advances in neural information processing systems, 1465-1472, 2008
1062008
An integrated system for real-time model predictive control of humanoid robots
T Erez, K Lowrey, Y Tassa, V Kumar, S Kolev, E Todorov
2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids …, 2013
912013
Whole-body model-predictive control applied to the HRP-2 humanoid
J Koenemann, A Del Prete, Y Tassa, E Todorov, O Stasse, M Bennewitz, ...
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
882015
Data-efficient deep reinforcement learning for dexterous manipulation
I Popov, N Heess, T Lillicrap, R Hafner, G Barth-Maron, M Vecerik, ...
arXiv preprint arXiv:1704.03073, 2017
872017
Learning and transfer of modulated locomotor controllers
N Heess, G Wayne, Y Tassa, T Lillicrap, M Riedmiller, D Silver
arXiv preprint arXiv:1610.05182, 2016
812016
Deepmind control suite
Y Tassa, Y Doron, A Muldal, T Erez, Y Li, DL Casas, D Budden, ...
arXiv preprint arXiv:1801.00690, 2018
792018
Stochastic differential dynamic programming
E Theodorou, Y Tassa, E Todorov
Proceedings of the 2010 American Control Conference, 1125-1132, 2010
792010
Mujoco: A physics engine for model-based control. In 2012 IEEE
E Todorov, T Erez, Y Tassa
RSJ International Conference on Intelligent Robots and Systems, 5026-5033, 0
77
Maximum a posteriori policy optimisation
A Abdolmaleki, JT Springenberg, Y Tassa, R Munos, N Heess, ...
arXiv preprint arXiv:1806.06920, 2018
642018
Learning human behaviors from motion capture by adversarial imitation
J Merel, Y Tassa, S Srinivasan, J Lemmon, Z Wang, G Wayne, N Heess
arXiv preprint arXiv:1707.02201, 2017
632017
Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts
T Erez, Y Tassa, E Todorov
602012
Stochastic complementarity for local control of discontinuous dynamics
Y Tassa, E Todorov
492010
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Articles 1–20