Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning

Yanwei Jia, Du Ouyang, Yufei Zhang

Stochastic policies (also known as relaxed controls) are widely used in continuous-time reinforcement learning algorithms. However, executing a stochastic policy and evaluating its…