Adaptive Resolving Methods for Markov Decision Processes with Function Approximations

Jiashuo Jiang, Yinyu Ye, Yiming Zong

Learning the optimal policy for Markov decision process problems (MDPs) from samples is a fundamental problem in online and data-driven decision-making. Function approximations are…