Efficient decorrelation of features using Gramian in Reinforcement Learning. - Borislav Mavrin; Daniel Graves; Alan Chan 001 (CoRR, 2019)

Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. - Kristopher De Asis; Alan Chan 001; Silviu Pitis; Richard S. Sutton; Daniel Graves (AAAI, 2020)

Training Recurrent Neural Networks Online by Learning Explicit State Variables. - Somjit Nath; Vincent Liu; Alan Chan 001; Xin Li; Adam White 001; Martha White (ICLR, 2020)

Inverse Policy Evaluation for Value-based Sequential Decision-making. - Alan Chan 001; Kristopher De Asis; Richard S. Sutton (CoRR, 2020)

Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences. - Alan Chan 001; Hugo Silva; Sungsu Lim; Tadashi Kozuno; A. Rupam Mahmood; Martha White (J. Mach. Learn. Res., 2022)