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APS: Active Pretraining with Successor Features

Aug 31, 2021
Hao Liu, Pieter Abbeel

* Appeared in ICML 2021 

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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 

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Playful Interactions for Representation Learning

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

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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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The MineRL BASALT Competition on Learning from Human Feedback

Jul 05, 2021
Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex, Brandon Houghton, William Guss, Sharada Mohanty, Anssi Kanervisto, Stephanie Milani, Nicholay Topin, Pieter Abbeel, Stuart Russell, Anca Dragan

* NeurIPS 2021 Competition Track 

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Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Jul 01, 2021
Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin

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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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Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments

Jun 18, 2021
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Sanjit A. Seshia

* First two authors contributed equally. Currently Under Review 

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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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Unsupervised Learning of Visual 3D Keypoints for Control

Jun 14, 2021
Boyuan Chen, Pieter Abbeel, Deepak Pathak

* Accepted at ICML 2021. Videos and code at 

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PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

Jun 09, 2021
Kimin Lee, Laura Smith, Pieter Abbeel

* ICML 2021. First two authors contributed equally. Website: Code: 

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JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data

Jun 02, 2021
Kourosh Hakhamaneshi, Pieter Abbeel, Vladimir Stojanovic, Aditya Grover

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Learning What To Do by Simulating the Past

May 03, 2021
David Lindner, Rohin Shah, Pieter Abbeel, Anca Dragan

* Presented at ICLR 2021 

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VideoGPT: Video Generation using VQ-VAE and Transformers

Apr 20, 2021
Wilson Yan, Yunzhi Zhang, Pieter Abbeel, Aravind Srinivas

* Project website: 

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Auto-Tuned Sim-to-Real Transfer

Apr 15, 2021
Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak

* ICRA 2021. First two authors contributed equally. Website at 

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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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