activity
20242026
most citedGaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

cs.LG2026

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning

Minh Vu, Konstantinos Slavakis

This paper develops an online, off-policy policy-iteration framework for reinforcement learning (RL), based on sparse Gaussian-mixture-model Q-functions (S-GMM-QFs). The framework…