Learning dynamic binary treatment policies under treatment selection bias: A Conservative Q-Learning approach with representation balancing
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Objective: Learn safe, robust dynamic treatment regimes (DTRs) from observational trajectories that exhibit treatment selection bias, using an offline reinforcement learning (RL) approach. ... ...
