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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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Decision Transformer: Reinforcement Learning via Sequence Modeling


Jun 02, 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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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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