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On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning


Jun 07, 2022
Zhao Mandi, Pieter Abbeel, Stephen James


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Multimodal Masked Autoencoders Learn Transferable Representations


May 31, 2022
Xinyang Geng, Hao Liu, Lisa Lee, Dale Schuurmans, Sergey Levine, Pieter Abbeel


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Reward Uncertainty for Exploration in Preference-based Reinforcement Learning


May 24, 2022
Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel

* ICLR 2022. Last two authors advised equally 

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Chain of Thought Imitation with Procedure Cloning


May 22, 2022
Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum


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An Empirical Investigation of Representation Learning for Imitation


May 16, 2022
Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah

* Accepted to NeurIPS2021 Datasets and Benchmarks Track 

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Coarse-to-fine Q-attention with Tree Expansion


May 02, 2022
Stephen James, Pieter Abbeel

* Project page and code: https://sites.google.com/view/q-attention-qte 

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Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning


Apr 18, 2022
Carl Qi, Pieter Abbeel, Aditya Grover


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Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking


Apr 14, 2022
Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou

* 25 pages, 16 figures, Project homepage: www.cse.cuhk.edu.hk/~kaichen/sim2real_pose.html 

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