Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation

Jianliang He, Han Zhong, Zhuoran Yang

We study infinite-horizon average-reward Markov decision processes (AMDPs) in the context of general function approximation. Specifically, we propose a novel algorithmic framework…