Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model

Mark Rowland, Li Kevin Wenliang, Rémi Munos +3

We propose a new algorithm for model-based distributional reinforcement learning (RL), and prove that it is minimax-optimal for approximating return distributions with a generative…