| Soft actor-critic algorithms and applications T Haarnoja, A Zhou, K Hartikainen, G Tucker, S Ha, J Tan, V Kumar, ... arXiv preprint arXiv:1812.05905, 2018 | 325 | 2018 |
| Learning complex dexterous manipulation with deep reinforcement learning and demonstrations A Rajeswaran*, V Kumar*, A Gupta, G Vezzani, J Schulman, E Todorov, ... arXiv preprint arXiv:1709.10087, 2017 | 265 | 2017 |
| Multi-goal reinforcement learning: Challenging robotics environments and request for research M Plappert, M Andrychowicz, A Ray, B McGrew, B Baker, G Powell, ... arXiv preprint arXiv:1802.09464, 2018 | 181 | 2018 |
| Optimal control with learned local models: Application to dexterous manipulation V Kumar, E Todorov, S Levine 2016 IEEE International Conference on Robotics and Automation (ICRA), 378-383, 2016 | 125 | 2016 |
| 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 | 115 | 2013 |
| Domain randomization and generative models for robotic grasping J Tobin, L Biewald, R Duan, M Andrychowicz, A Handa, V Kumar, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 90 | 2018 |
| Variance reduction for policy gradient with action-dependent factorized baselines C Wu, A Rajeswaran, Y Duan, V Kumar, AM Bayen, S Kakade, I Mordatch, ... arXiv preprint arXiv:1803.07246, 2018 | 78 | 2018 |
| Divide-and-conquer reinforcement learning D Ghosh, A Singh, A Rajeswaran, V Kumar, S Levine arXiv preprint arXiv:1711.09874, 2017 | 60 | 2017 |
| Deep dynamics models for learning dexterous manipulation A Nagabandi, K Konolige, S Levine, V Kumar Conference on Robot Learning, 1101-1112, 2020 | 57 | 2020 |
| Learning latent plans from play C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet Conference on Robot Learning, 1113-1132, 2020 | 53 | 2020 |
| Design of an anthropomorphic robotic finger system with biomimetic artificial joints Z Xu, V Kumar, Y Matsuoka, E Todorov 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2012 | 51 | 2012 |
| Dexterous manipulation with deep reinforcement learning: Efficient, general, and low-cost H Zhu, A Gupta, A Rajeswaran, S Levine, V Kumar 2019 International Conference on Robotics and Automation (ICRA), 3651-3657, 2019 | 49 | 2019 |
| Mujoco haptix: A virtual reality system for hand manipulation V Kumar, E Todorov 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015 | 48 | 2015 |
| Dynamics-aware unsupervised discovery of skills A Sharma, S Gu, S Levine, V Kumar, K Hausman arXiv preprint arXiv:1907.01657, 2019 | 46 | 2019 |
| A low-cost and modular, 20-DOF anthropomorphic robotic hand: Design, actuation and modeling Z Xu, V Kumar, E Todorov 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids …, 2013 | 41 | 2013 |
| Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands V Kumar, Z Xu, E Todorov 2013 IEEE international conference on robotics and automation, 1512-1519, 2013 | 41 | 2013 |
| Real-time behaviour synthesis for dynamic Hand-Manipulation V Kumar, Y Tassa, T Erez, E Todorov Robotics and Automation (ICRA), 2014 IEEE International Conference on, 6808-6815, 2014 | 40 | 2014 |
| Learning dexterous manipulation policies from experience and imitation V Kumar, A Gupta, E Todorov, S Levine arXiv preprint arXiv:1611.05095, 2016 | 33 | 2016 |
| Relay policy learning: Solving long-horizon tasks via imitation and reinforcement learning A Gupta, V Kumar, C Lynch, S Levine, K Hausman arXiv preprint arXiv:1910.11956, 2019 | 24 | 2019 |
| The ingredients of real-world robotic reinforcement learning H Zhu, J Yu, A Gupta, D Shah, K Hartikainen, A Singh, V Kumar, S Levine arXiv preprint arXiv:2004.12570, 2020 | 23 | 2020 |
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
