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


Jul 28, 2021
Vikash Kumar

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

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RRL: Resnet as representation for Reinforcement Learning


Jul 09, 2021
Rutav Shah, Vikash Kumar

* Published at ICML 2021 

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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 

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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


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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 

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A Game Theoretic Framework for Model Based Reinforcement Learning


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

* Project webpage: https://sites.google.com/view/mbrl-game 

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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) 

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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 

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Deep Dynamics Models for Learning Dexterous Manipulation


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

* project website https://sites.google.com/view/pddm/ 

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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 - www.roboticsbenchmarks.org 

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Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real


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


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Dynamics-Aware Unsupervised Discovery of Skills


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


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Learning Latent Plans from Play


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


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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 

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


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

* https://sites.google.com/view/deeprl-handmanipulation 

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Time Reversal as Self-Supervision


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

* 7 pages, 10 figures 

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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: https://sites.google.com/view/deeprl-dexterous-manipulation 

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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 http://bit.ly/dnc-rl 

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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) 

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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%) 

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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


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Pneumatic Modelling for Adroit Manipulation Platform


Mar 05, 2017
Vikash Kumar, Visak CV


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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 

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