RLoptimal: Optimal Adaptive Allocation Using Deep Reinforcement Learning
Kentaro Matsuura, Koji Makiyama · 2024
An implementation to compute an optimal adaptive allocation rule using deep reinforcement learning in a dose-response study (Matsuura et al. (2022) ). The adaptive allocation rule can directly optimize a performance metric, such as power, accuracy of the estimated target dose, or mean absolute error over the estimated dose-response curve.