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Behavior From the Void: Unsupervised Active Pre-Training


Mar 12, 2021
Hao Liu , Pieter Abbeel

* Corrected typos. Content unchanged 

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Pretrained Transformers as Universal Computation Engines


Mar 09, 2021
Kevin Lu , Aditya Grover , Pieter Abbeel , Igor Mordatch


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Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings


Mar 04, 2021
Lili Chen , Kimin Lee , Aravind Srinivas , Pieter Abbeel


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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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State Entropy Maximization with Random Encoders for Efficient Exploration


Feb 18, 2021
Younggyo Seo , Lili Chen , Jinwoo Shin , Honglak Lee , Pieter Abbeel , Kimin Lee

* First two authors contributed equally, website: https://sites.google.com/view/re3-rl 

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Bottleneck Transformers for Visual Recognition


Jan 27, 2021
Aravind Srinivas , Tsung-Yi Lin , Niki Parmar , Jonathon Shlens , Pieter Abbeel , Ashish Vaswani

* Technical Report, 20 pages, 13 figures, 19 tables 

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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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Reset-Free Lifelong Learning with Skill-Space Planning


Jan 01, 2021
Kevin Lu , Aditya Grover , Pieter Abbeel , Igor Mordatch

* Website link: https://sites.google.com/berkeley.edu/reset-free-lifelong-learning 

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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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