Vikash Kumar
Vikash Kumar
Research Scientist, Facebook AI (FAIR)
Verified email at - Homepage
Cited by
Cited by
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
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
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
Deep dynamics models for learning dexterous manipulation
A Nagabandi, K Konolige, S Levine, V Kumar
Conference on Robot Learning, 1101-1112, 2020
Dynamics-aware unsupervised discovery of skills
A Sharma, S Gu, S Levine, V Kumar, K Hausman
arXiv preprint arXiv:1907.01657, 2019
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
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
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
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
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
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
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
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
Divide-and-conquer reinforcement learning
D Ghosh, A Singh, A Rajeswaran, V Kumar, S Levine
arXiv preprint arXiv:1711.09874, 2017
A game theoretic framework for model based reinforcement learning
A Rajeswaran, I Mordatch, V Kumar
International conference on machine learning, 7953-7963, 2020
R3M: A universal visual representation for robot manipulation
S Nair, A Rajeswaran, V Kumar, C Finn, A Gupta
arXiv preprint arXiv:2203.12601, 2022
Mujoco haptix: A virtual reality system for hand manipulation
V Kumar, E Todorov
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
Learning dexterous manipulation policies from experience and imitation
V Kumar, A Gupta, E Todorov, S Levine
arXiv preprint arXiv:1611.05095, 2016
ROBEL: RObotics BEnchmarks for Learning with low-cost robots
M Ahn, H Zhu, K Hartikainen, H Ponte, A Gupta, S Levine, V Kumar
Conference on robot learning, 1300-1313, 2020
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
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