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URLB: Unsupervised Reinforcement Learning Benchmark


Oct 28, 2021
Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel

* Code for the Unsupervised Reinforcement Learning Benchmark is available at https://github.com/rll-research/url_benchmark 

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Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback


Aug 11, 2021
Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin

* 8 pages,6 figures. for associated code and video, see http://sites.google.com/view/skill-pref 

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Hierarchical Few-Shot Imitation with Skill Transition Models


Jul 19, 2021
Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin


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Decision Transformer: Reinforcement Learning via Sequence Modeling


Jun 24, 2021
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

* First two authors contributed equally. Last two authors advised equally 

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Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL


Jun 18, 2021
Catherine Cang, Aravind Rajeswaran, Pieter Abbeel, Michael Laskin


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Reinforcement Learning with Latent Flow


Jan 06, 2021
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin


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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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Parallel Training of Deep Networks with Local Updates


Dec 07, 2020
Michael Laskin, Luke Metz, Seth Nabarrao, Mark Saroufim, Badreddine Noune, Carlo Luschi, Jascha Sohl-Dickstein, Pieter Abbeel

* First two authors - Michael Laskin and Luke Metz - contributed equally. Order was determined by a coin flip 

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Decoupling Representation Learning from Reinforcement Learning


Sep 30, 2020
Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin

* Improved related works and fixed code hyperlink 

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SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning


Jul 09, 2020
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel


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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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CURL: Contrastive Unsupervised Representations for Reinforcement Learning


Apr 28, 2020
Aravind Srinivas, Michael Laskin, Pieter Abbeel

* First two authors contributed equally, website: https://mishalaskin.github.io/curl code: https://github.com/MishaLaskin/curl 

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Sparse Graphical Memory for Robust Planning


Mar 13, 2020
Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak

* Video and code at https://mishalaskin.github.io/sgm/ 

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