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An Empirical Investigation of Representation Learning for Imitation



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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Retrospective on the 2021 BASALT Competition on Learning from Human Feedback



Rohin Shah , Steven H. Wang , Cody Wild , Stephanie Milani , Anssi Kanervisto , Vinicius G. Goecks , Nicholas Waytowich , David Watkins-Valls , Bharat Prakash , Edmund Mills , Divyansh Garg , Alexander Fries , Alexandra Souly , Chan Jun Shern , Daniel del Castillo , Tom Lieberum

* Accepted to the PMLR NeurIPS 2021 Demo & Competition Track volume 

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The MineRL BASALT Competition on Learning from Human Feedback



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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Learning What To Do by Simulating the Past



David Lindner , Rohin Shah , Pieter Abbeel , Anca Dragan

* Presented at ICLR 2021 

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Combining Reward Information from Multiple Sources



Dmitrii Krasheninnikov , Rohin Shah , Herke van Hoof


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Choice Set Misspecification in Reward Inference



Rachel Freedman , Rohin Shah , Anca Dragan

* Presented at the IJCAI-PRICAI 2020 Workshop on Artificial Intelligence Safety 

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Evaluating the Robustness of Collaborative Agents



Paul Knott , Micah Carroll , Sam Devlin , Kamil Ciosek , Katja Hofmann , A. D. Dragan , Rohin Shah


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The MAGICAL Benchmark for Robust Imitation



Sam Toyer , Rohin Shah , Andrew Critch , Stuart Russell

* NeurIPS 2020 conference paper (poster) 

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On the Utility of Learning about Humans for Human-AI Coordination



Micah Carroll , Rohin Shah , Mark K. Ho , Thomas L. Griffiths , Sanjit A. Seshia , Pieter Abbeel , Anca Dragan

* Published at NeurIPS 2019 

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