Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning

Michael Teng, Michiel van de Panne, Frank Wood

Distributional reinforcement learning (RL) aims to learn a value-network that predicts the full distribution of the returns for a given state, often modeled via a quantile-based cr…