3.4k citations · 3.6k across the 16 of their papers we have counts for
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cs.LG2017★ 3 cited
Sample Efficient Feature Selection for Factored MDPs
Zhaohan Daniel Guo, Emma Brunskill
In reinforcement learning, the state of the real world is often represented by feature vectors. However, not all of the features may be pertinent for solving the current task. We p…
cs.AI2017★ 23 cited
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation
Zhaohan Daniel Guo, Philip S. Thomas, Emma Brunskill
Evaluating a policy by deploying it in the real world can be risky and costly. Off-policy policy evaluation (OPE) algorithms use historical data collected from running a previous p…