Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model

Bingyan Wang, Yuling Yan, Jianqing Fan

The curse of dimensionality is a widely known issue in reinforcement learning (RL). In the tabular setting where the state space $\mathcal{S}$ and the action space $\mathcal{A}$ ar…