Dynamically optimal treatment allocation using Reinforcement Learning

1 Apr 2019Karun AdusumilliFriedrich GeieckeClaudio Schilter

Devising guidance on how to assign individuals to treatment is an important goal of empirical research. In practice individuals often arrive sequentially, and the planner faces various constraints such as limited budget/capacity, or borrowing constraints, or the need to place people in a queue... (read more)

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