Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization

Minh Vu, Konstantinos Slavakis

This paper establishes a novel role for Gaussian-mixture models (GMMs) as functional approximators of Q-function losses in reinforcement learning (RL). Unlike the existing RL liter…