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Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning


Jul 20, 2021
Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto


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Playful Interactions for Representation Learning


Jul 19, 2021
Sarah Young, Jyothish Pari, Pieter Abbeel, Lerrel Pinto


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GEM: Group Enhanced Model for Learning Dynamical Control Systems


Apr 07, 2021
Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin

* 14 pages, 8 figures 

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Simultaneous Navigation and Construction Benchmarking Environments


Mar 31, 2021
Wenyu Han, Chen Feng, Haoran Wu, Alexander Gao, Armand Jordana, Dong Liu, Lerrel Pinto, Ludovic Righetti


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Task-Agnostic Morphology Evolution


Feb 25, 2021
Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto

* ICLR 2021 

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Reinforcement Learning with Prototypical Representations


Feb 22, 2021
Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto


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Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency


Dec 17, 2020
Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang

* Project page: https://sjtuzq.github.io/cycle_dynamics.html 

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A Framework for Efficient Robotic Manipulation


Dec 14, 2020
Albert Zhan, Philip Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin


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Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation


Nov 13, 2020
Bryan Chen, Alexander Sax, Gene Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto

* Extended version of CoRL 2020 camera ready. Supplementary released separately 

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Visual Imitation Made Easy


Aug 11, 2020
Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto


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Self-Supervised Policy Adaptation during Deployment


Jul 08, 2020
Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang

* Project page: https://nicklashansen.github.io/PAD/ , Code: https://github.com/nicklashansen/policy-adaptation-during-deployment 

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Swoosh! Rattle! Thump! -- Actions that Sound


Jul 03, 2020
Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto

* To be presented at Robotics: Science and Systems 2020 

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Automatic Curriculum Learning through Value Disagreement


Jun 17, 2020
Yunzhi Zhang, Pieter Abbeel, Lerrel Pinto

* https://sites.google.com/berkeley.edu/vds/ 

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Reinforcement Learning with Augmented Data


May 11, 2020
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas

* First two authors contributed equally, website: https://mishalaskin.github.io/rad code: https://github.com/MishaLaskin/rad and https://github.com/pokaxpoka/rad_procgen 

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State-Only Imitation Learning for Dexterous Manipulation


Apr 07, 2020
Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik

* Videos available at https://people.eecs.berkeley.edu/~ilija/soil 

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Learning Predictive Representations for Deformable Objects Using Contrastive Estimation


Mar 11, 2020
Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, Lerrel Pinto

* Project website: https://sites.google.com/view/contrastive-predictive-model 

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Hierarchically Decoupled Imitation for Morphological Transfer


Mar 03, 2020
Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto


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Generalized Hindsight for Reinforcement Learning


Feb 26, 2020
Alexander C. Li, Lerrel Pinto, Pieter Abbeel


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Learning to Manipulate Deformable Objects without Demonstrations


Oct 29, 2019
Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel

* Project website: https://sites.google.com/view/alternating-pick-and-place 

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Environment Probing Interaction Policies


Jul 26, 2019
Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta

* Published as a conference paper at ICLR 2019 

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PyRobot: An Open-source Robotics Framework for Research and Benchmarking


Jun 19, 2019
Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala, Dhiraj Gandhi, Lerrel Pinto, Saurabh Gupta, Abhinav Gupta


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Robot Learning via Human Adversarial Games


Mar 02, 2019
Jiali Duan*, Qian Wang*, Lerrel Pinto, C. -C. Jay Kuo, Stefanos Nikolaidis


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Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions


Oct 24, 2018
Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha Srinivasa


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Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation


Oct 16, 2018
Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta

* 10 pages, CoRL 2018 

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Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias


Jul 18, 2018
Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi, Lerrel Pinto


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CASSL: Curriculum Accelerated Self-Supervised Learning


Feb 12, 2018
Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta


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Asymmetric Actor Critic for Image-Based Robot Learning


Oct 18, 2017
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

* Videos of experiments can be found at http://www.goo.gl/b57WTs 

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Predictive-State Decoders: Encoding the Future into Recurrent Networks


Sep 25, 2017
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell

* NIPS 2017 

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