online and lightweight kernel-based approximated policy iteration for dynamic p-norm linear adaptive filtering. - Yuki Akiyama; Minh Vu 004; Konstantinos Slavakis (CoRR, 2022)

Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning. - Minh Vu 004; Yuki Akiyama; Konstantinos Slavakis (ICASSP, 2023)

Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization. - Minh Vu 004; Konstantinos Slavakis (CoRR, 2024)

Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering. - Yuki Akiyama; Minh Vu 004; Konstantinos Slavakis (IEEE Trans. Signal Process., 2024)

Online reinforcement learning via sparse Gaussian mixture model Q-functions. - Minh Vu 004; Konstantinos Slavakis (CoRR, 2025)