14 citations · 54 across the 21 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.LG2022
Auxiliary task discovery through generate-and-test
Banafsheh Rafiee, Sina Ghiassian, Jun Jin +3
In this paper, we explore an approach to auxiliary task discovery in reinforcement learning based on ideas from representation learning. Auxiliary tasks tend to improve data effici…
cs.LG2022★ 1 cited
Importance Sampling Placement in Off-Policy Temporal-Difference Methods
Eric Graves, Sina Ghiassian
A central challenge to applying many off-policy reinforcement learning algorithms to real world problems is the variance introduced by importance sampling. In off-policy learning,…