Minh Vu

Orcid: 0009-0009-1441-8276

Affiliations:
  • Institute of Science Tokyo, Tokyo Institute of Technology, Department of Information and Communications Engineering, Yokohama, Japan


According to our database1, Minh Vu authored at least 8 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Nonparametric Bellman Mappings for Value Iteration in Distributed Reinforcement Learning.
IEEE Trans. Signal Process., 2026

2025
Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning.
CoRR, December, 2025

Online reinforcement learning via sparse Gaussian mixture model Q-functions.
CoRR, September, 2025

Riemannian Q-Functions for Policy Iteration in Reinforcement Learning.
Proceedings of the 33rd European Signal Processing Conference, 2025

2024
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering.
IEEE Trans. Signal Process., 2024

Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization.
CoRR, 2024

2023
Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
online and lightweight kernel-based approximated policy iteration for dynamic p-norm linear adaptive filtering.
CoRR, 2022


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