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Alan Chan
Publication Activity (10 Years)
Years Active: 2019-2022
Publications (10 Years): 7
Top Topics
Temporal Difference
Reinforcement Learning
Recurrent Neural Networks
Policy Evaluation
Top Venues
CoRR
J. Mach. Learn. Res.
ICLR
AAAI
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Publications
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Alan Chan
,
Hugo Silva
,
Sungsu Lim
,
Tadashi Kozuno
,
A. Rupam Mahmood
,
Martha White
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences.
J. Mach. Learn. Res.
23 (2022)
Alan Chan
,
Hugo Silva
,
Sungsu Lim
,
Tadashi Kozuno
,
A. Rupam Mahmood
,
Martha White
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences.
CoRR
(2021)
Alan Chan
,
Kristopher De Asis
,
Richard S. Sutton
Inverse Policy Evaluation for Value-based Sequential Decision-making.
CoRR
(2020)
Somjit Nath
,
Vincent Liu
,
Alan Chan
,
Xin Li
,
Adam White
,
Martha White
Training Recurrent Neural Networks Online by Learning Explicit State Variables.
ICLR
(2020)
Kristopher De Asis
,
Alan Chan
,
Silviu Pitis
,
Richard S. Sutton
,
Daniel Graves
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning.
AAAI
(2020)
Kristopher De Asis
,
Alan Chan
,
Silviu Pitis
,
Richard S. Sutton
,
Daniel Graves
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning.
CoRR
(2019)
Borislav Mavrin
,
Daniel Graves
,
Alan Chan
Efficient decorrelation of features using Gramian in Reinforcement Learning.
CoRR
(2019)