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Scoring Rules for Performative Binary Prediction


Jul 05, 2022
Alan Chan

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* 4 pages, accepted to workshop on Strategic Machine Learning at NeurIPS 2021 

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Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences


Jul 17, 2021
Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White

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* Submitted to JMLR 

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Parameter-free Gradient Temporal Difference Learning


May 10, 2021
Andrew Jacobsen, Alan Chan

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* 30 pages, 10 figures 

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Inverse Policy Evaluation for Value-based Sequential Decision-making


Aug 26, 2020
Alan Chan, Kris de Asis, Richard S. Sutton

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* Submitted to NeurIPS 2020 

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Efficient decorrelation of features using Gramian in Reinforcement Learning


Nov 19, 2019
Borislav Mavrin, Daniel Graves, Alan Chan

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Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning


Sep 09, 2019
Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves

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