Parametric Return Density Estimation for Reinforcement Learning

Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima +2

Most conventional Reinforcement Learning (RL) algorithms aim to optimize decision-making rules in terms of the expected returns. However, especially for risk management purposes, o…