2022
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning
AISTATS 2022poster
Distributional reinforcement learning (DRL) extends the value-based approach by approximating the full distribution over future returns instead of the mean only, providing a richer signal that leads to improved performances. Quantile Regression (QR)-based methods like QR-DQN project arbitrary distri…