論文

• Y. Akiyama, M. Vu, K. Slavakis. Nonparametric Bellman mappings for reinforcement learning: Application to robust adaptive filtering, IEEE Transactions on Signal Processing, vol. 72, pp. 5644-5658, Nov. 2024.

国際会議発表 (査読有り)

• M. Vu, Y. Akiyama, K. Slavakis. Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2023.  公式リンク  
  

国内会議発表 (査読なし・不明)

• Minh Vu Duc, Konstantinos Slavakis. Novel Approximators of Q-Functions in Reinforcement Learning by Gaussian Mixture Models, Signal Processing Symposium, Dec. 2024.
• M. Vu, Y. Akiyama, K. Slavakis. Least-mean p-norm adaptive filtering via reinforcement learning, Signal Processing (SIP) Symposium, Nov. 2022.
• Y. Akiyama, M. Vu, K. Slavakis. Online lightweight reinforcement learning against outliers in linear adaptive filtering, Signal Processing (SIP) Symposium, Nov. 2022.

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