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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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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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Self-Supervised Policy Adaptation during Deployment

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

* Project page: , Code: 

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Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

Jul 08, 2020
Adam Stooke, Joshua Achiam, Pieter Abbeel

* ICML 2020 

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Locally Masked Convolution for Autoregressive Models

Jun 27, 2020
Ajay Jain, Pieter Abbeel, Deepak Pathak

* Published at Conference on Uncertainty in AI (UAI) 2020 

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Denoising Diffusion Probabilistic Models

Jun 19, 2020
Jonathan Ho, Ajay Jain, Pieter Abbeel

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Automatic Curriculum Learning through Value Disagreement

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


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Mutual Information Maximization for Robust Plannable Representations

May 16, 2020
Yiming Ding, Ignasi Clavera, Pieter Abbeel

* Accepted at NeurIPS 2019 Workshop on Robot Learning: Control and Interaction in the Real World 

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Model-Augmented Actor-Critic: Backpropagating through Paths

May 16, 2020
Ignasi Clavera, Violet Fu, Pieter Abbeel

* Accepted paper at ICLR 2020 

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