Distributional Reinforcement Learning for Efficient Exploration

Borislav Mavrin, hengshuai yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu

Abstract: In distributional reinforcement learning (RL), the estimated distribution of value functions model both the parametric and intrinsic uncertainties. We propose a novel and efficient exploration meth...