9 citations · 9 across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021★ 9 cited
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
Alan Chan, Hugo Silva, Sungsu Lim +3
Approximate Policy Iteration (API) algorithms alternate between (approximate) policy evaluation and (approximate) greedification. Many different approaches have been explored for a…
cs.LG2021
Parameter-free Gradient Temporal Difference Learning
Andrew Jacobsen, Alan Chan
Reinforcement learning lies at the intersection of several challenges. Many applications of interest involve extremely large state spaces, requiring function approximation to enabl…