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Building Human Values into Recommender Systems: An Interdisciplinary Synthesis


Jul 20, 2022
Jonathan Stray, Alon Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Lex Beattie, Michael Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan


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Denoised MDPs: Learning World Models Better Than the World Itself


Jul 18, 2022
Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian

* Project page: https://ssnl.github.io/denoised_mdp/ Code: https://github.com/facebookresearch/denoised_mdp 

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Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning


Apr 28, 2022
Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine

* 20 Pages, 15 Figures, 4 Tables 

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Robust Policy Learning over Multiple Uncertainty Sets


Mar 04, 2022
Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang

* Project webpage at https://sites.google.com/view/sirsa-public/home 

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Online Decision Transformer


Feb 11, 2022
Qinqing Zheng, Amy Zhang, Aditya Grover


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A Survey of Generalisation in Deep Reinforcement Learning


Nov 18, 2021
Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel


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Learning Representations for Pixel-based Control: What Matters and Why?


Nov 15, 2021
Manan Tomar, Utkarsh A. Mishra, Amy Zhang, Matthew E. Taylor


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