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Learning What To Do by Simulating the Past

Apr 08, 2021
David Lindner, Rohin Shah, Pieter Abbeel, Anca Dragan

* Published at ICLR 2021 

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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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AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control

Apr 05, 2021
Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa

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Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis

Apr 01, 2021
Ajay Jain, Matthew Tancik, Pieter Abbeel

* Project website: 

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Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

Mar 26, 2021
Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

* To appear on 2021 International Conference on Robotics and Automation (ICRA 2021) 

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Mutual Information State Intrinsic Control

Mar 15, 2021
Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu

* Published in International Conference on Learning Representations (ICLR 2021) as Spotlight (top 5%), Link: arXiv admin note: text overlap with arXiv:2002.01963 

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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: 

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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: 

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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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Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Oct 26, 2020
Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel

* Accepted in NeurIPS2020. First two authors contributed equally, website: code: 

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LaND: Learning to Navigate from Disengagements

Oct 09, 2020
Gregory Kahn, Pieter Abbeel, Sergey Levine

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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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Visual Imitation Made Easy

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

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Hybrid Discriminative-Generative Training via Contrastive Learning

Aug 10, 2020
Hao Liu, Pieter Abbeel

* Code: 

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Robust Reinforcement Learning using Adversarial Populations

Aug 04, 2020
Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre Bayen

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Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning

Aug 03, 2020
Xingyu Lu, Kimin Lee, Pieter Abbeel, Stas Tiomkin

* 16 pages 

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Efficient Online Estimation of Empowerment for Reinforcement Learning

Jul 14, 2020
Ruihan Zhao, Pieter Abbeel, Stas Tiomkin

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Variable Skipping for Autoregressive Range Density Estimation

Jul 10, 2020
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen

* ICML 2020. Code released at: 

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AvE: Assistance via Empowerment

Jul 09, 2020
Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca Dragan

* Fix missing citation on page 4; edit acknowledgements 

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Contrastive Code Representation Learning

Jul 09, 2020
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica

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