| 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 | 14201 | 2015 |
| 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 | 4822 | 2012 |
| 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 | 1014 | 2017 |
| 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 | 874 | 2012 |
| 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 | 610 | 2015 |
| Deepmind control suite Y Tassa, Y Doron, A Muldal, T Erez, Y Li, DL Casas, D Budden, ... arXiv preprint arXiv:1801.00690, 2018 | 463 | 2018 |
| 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 1 (3), 5, 2018 | 420* | 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 | 354 | 2015 |
| 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 | 316 | 2018 |
| 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 | 287 | 2017 |
| 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 | 246 | 2020 |
| 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 | 169 | 2013 |
| Receding horizon differential dynamic programming Y Tassa, T Erez, W Smart Advances in neural information processing systems 20, 2007 | 161 | 2007 |
| 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 | 97 | 2020 |
| Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts T Erez, Y Tassa, E Todorov Robotics: Science and Systems, 2011 | 96 | 2011 |
| Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts T Erez, Y Tassa, E Todorov Robotics: Science and Systems, 2011 | 96 | 2011 |
| Trajectory optimization for domains with contacts using inverse dynamics T Erez, E Todorov 2012 IEEE/RSJ International conference on intelligent robots and systems …, 2012 | 90 | 2012 |
| Learning to perform physics experiments via deep reinforcement learning M Denil, P Agrawal, TD Kulkarni, T Erez, P Battaglia, N De Freitas arXiv preprint arXiv:1611.01843, 2016 | 86 | 2016 |
| Least squares solutions of the HJB equation with neural network value-function approximators Y Tassa, T Erez IEEE transactions on neural networks 18 (4), 1031-1041, 2007 | 85 | 2007 |
| Real-time behaviour synthesis for dynamic hand-manipulation V Kumar, Y Tassa, T Erez, E Todorov 2014 IEEE International Conference on Robotics and Automation (ICRA), 6808-6815, 2014 | 80 | 2014 |
Yuval TassaSenior Research Scientist, Google DeepMindVerified email at google.com
