Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Vikash Kumar

Deep Neural Network Approach to Estimate Early Worst-Case Execution Time

Jul 28, 2021
Vikash Kumar

* 8 pages, 6 figures, 3 tables, 27 references 

  Access Paper or Ask Questions

RRL: Resnet as representation for Reinforcement Learning

Jul 09, 2021
Rutav Shah, Vikash Kumar

* Published at ICML 2021 

  Access Paper or Ask Questions

Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention

Apr 22, 2021
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine

* Published at ICRA 2021. First four authors contributed equally 

  Access Paper or Ask Questions

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning

Apr 27, 2020
Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu

  Access Paper or Ask Questions

The Ingredients of Real-World Robotic Reinforcement Learning

Apr 27, 2020
Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine

* First three authors contributed equally. Accepted as a spotlight presentation at ICLR 2020 

  Access Paper or Ask Questions

A Game Theoretic Framework for Model Based Reinforcement Learning

Apr 16, 2020
Aravind Rajeswaran, Igor Mordatch, Vikash Kumar

* Project webpage: 

  Access Paper or Ask Questions

Benchmarking In-Hand Manipulation

Jan 09, 2020
Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic

* Accepted to Robotics Automation and Letters (RA-L) 

  Access Paper or Ask Questions

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Oct 25, 2019
Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman

* Published at CoRL 2019 

  Access Paper or Ask Questions

Deep Dynamics Models for Learning Dexterous Manipulation

Sep 25, 2019
Anusha Nagabandi, Kurt Konoglie, Sergey Levine, Vikash Kumar

* project website 

  Access Paper or Ask Questions

ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots

Sep 25, 2019
Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar

* Conference on Robot Learning, 2019 
* Accepted for CoRL2019. For details visit - 

  Access Paper or Ask Questions

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real

Aug 13, 2019
Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar

  Access Paper or Ask Questions

Dynamics-Aware Unsupervised Discovery of Skills

Jul 02, 2019
Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman

  Access Paper or Ask Questions

Learning Latent Plans from Play

Mar 05, 2019
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet

  Access Paper or Ask Questions

Soft Actor-Critic Algorithms and Applications

Jan 29, 2019
Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine

* arXiv admin note: substantial text overlap with arXiv:1801.01290 

  Access Paper or Ask Questions

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

Oct 14, 2018
Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, Vikash Kumar


  Access Paper or Ask Questions

Time Reversal as Self-Supervision

Oct 02, 2018
Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar

* 7 pages, 10 figures 

  Access Paper or Ask Questions

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Jun 26, 2018
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, Sergey Levine

* Accepted for presentation at Robotics: Science and Systems (RSS) 2018. Project page: 

  Access Paper or Ask Questions

Divide-and-Conquer Reinforcement Learning

Apr 27, 2018
Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine

* Presented at ICLR 2018. Videos and supporting materials are located at 

  Access Paper or Ask Questions

Domain Randomization and Generative Models for Robotic Grasping

Apr 03, 2018
Joshua Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

* 8 pages, 11 figures. Submitted to 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) 

  Access Paper or Ask Questions

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines

Mar 20, 2018
Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen, Sham Kakade, Igor Mordatch, Pieter Abbeel

* Accepted to ICLR 2018, Oral (2%) 

  Access Paper or Ask Questions

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Mar 10, 2018
Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba

  Access Paper or Ask Questions

Pneumatic Modelling for Adroit Manipulation Platform

Mar 05, 2017
Vikash Kumar, Visak CV

  Access Paper or Ask Questions

Learning Dexterous Manipulation Policies from Experience and Imitation

Nov 15, 2016
Vikash Kumar, Abhishek Gupta, Emanuel Todorov, Sergey Levine

* Initial draft for a journal submission 

  Access Paper or Ask Questions