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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

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cs.LG2024★ 1 cited

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…

eess.SP2024

Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering

Yuki Akiyama, Minh Vu, Konstantinos Slavakis

This paper designs novel nonparametric Bellman mappings in reproducing kernel Hilbert spaces (RKHSs) for reinforcement learning (RL). The proposed mappings benefit from the rich ap…