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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 https://buoyancy99.github.io/unsup-3d-keypoints/ 

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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: https://sites.google.com/view/icml21pebble Code: https://github.com/pokaxpoka/B_Pref 

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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: https://wilson1yan.github.io/videogpt/index.html 

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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 https://yuqingd.github.io/autotuned-sim2real/ 

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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: https://www.ajayj.com/dietnerf 

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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: https://openreview.net/forum?id=OthEq8I5v1. 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: 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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