most citedSemi-Supervised Off Policy Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

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…