86 citations · 307 across the 40 of their papers we have counts for
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cs.LG2020★ 2 cited
Semi-Supervised Off Policy Reinforcement Learning
Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan +2
Reinforcement learning (RL) has shown great success in estimating sequential treatment strategies which take into account patient heterogeneity. However, health-outcome information…
cs.LG2020★ 9 cited
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
Aaron Sonabend-W, Junwei Lu, Leo A. Celi +2
Offline Reinforcement Learning (RL) is a promising approach for learning optimal policies in environments where direct exploration is expensive or unfeasible. However, the adoption…