Следене
Tom Erez
Tom Erez
Researcher, DeepMind
Потвърден имейл адрес: google.com - Начална страница
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Позовавания
Година
Continuous control with deep reinforcement learning
TP Lillicrap
arXiv preprint arXiv:1509.02971, 2015
171232015
Mujoco: A physics engine for model-based control
E Todorov, T Erez, Y Tassa
2012 IEEE/RSJ international conference on intelligent robots and systems …, 2012
60692012
Emergence of locomotion behaviours in rich environments
N Heess, D Tb, S Sriram, J Lemmon, J Merel, G Wayne, Y Tassa, T Erez, ...
arXiv preprint arXiv:1707.02286, 2017
11272017
Synthesis and stabilization of complex behaviors through online trajectory optimization
Y Tassa, T Erez, E Todorov
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
9992012
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 28, 2015
6772015
Deepmind control suite
Y Tassa, Y Doron, A Muldal, T Erez, Y Li, DL Casas, D Budden, ...
arXiv preprint arXiv:1801.00690, 2018
6212018
Continuous control with deep reinforcement learning. arXiv 2015
TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa, D Silver, ...
arXiv preprint arXiv:1509.02971, 1935
5741935
Diego de Las Casas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, et al. Deepmind control suite
Y Tassa, Y Doron, A Muldal, T Erez, Y Li
arXiv preprint arXiv:1801.00690 2 (6), 7, 2018
531*2018
Simulation tools for model-based robotics: Comparison of bullet, havok, mujoco, ode and physx
T Erez, Y Tassa, E Todorov
2015 IEEE international conference on robotics and automation (ICRA), 4397-4404, 2015
4102015
Reinforcement and imitation learning for diverse visuomotor skills
Y Zhu, Z Wang, J Merel, A Rusu, T Erez, S Cabi, S Tunyasuvunakool, ...
arXiv preprint arXiv:1802.09564, 2018
3702018
dm_control: Software and tasks for continuous control
S Tunyasuvunakool, A Muldal, Y Doron, S Liu, S Bohez, J Merel, T Erez, ...
Software Impacts 6, 100022, 2020
3602020
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
3172017
Language to rewards for robotic skill synthesis
W Yu, N Gileadi, C Fu, S Kirmani, KH Lee, MG Arenas, HTL Chiang, ...
arXiv preprint arXiv:2306.08647, 2023
1872023
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
1832013
Receding horizon differential dynamic programming
Y Tassa, T Erez, W Smart
Advances in neural information processing systems 20, 2007
1682007
Continuous control with deep reinforcement learning
Y Bengio, TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, D Wierstra
Found. Trends® Mach. Learn 2, 1-127, 2009
1632009
Catch & carry: reusable neural controllers for vision-guided whole-body tasks
J Merel, S Tunyasuvunakool, A Ahuja, Y Tassa, L Hasenclever, V Pham, ...
ACM Transactions on Graphics (TOG) 39 (4), 39: 1-39: 12, 2020
1222020
Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts
T Erez, Y Tassa, E Todorov
Robotics: Science and Systems, 2011
1082011
Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts
T Erez, Y Tassa, E Todorov
Robotics: Science and Systems, 2011
1082011
& Wierstra, D.(2015). Continuous control with deep reinforcement learning
TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa
arXiv preprint arXiv:1509.02971, 0
100
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