arXiv Open Access 2024

Kernel-based learning with guarantees for multi-agent applications

Krzysztof Kowalczyk Paweł Wachel Cristian R. Rojas

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Abstrak

This paper addresses a kernel-based learning problem for a network of agents locally observing a latent multidimensional, nonlinear phenomenon in a noisy environment. We propose a learning algorithm that requires only mild a priori knowledge about the phenomenon under investigation and delivers a model with corresponding non-asymptotic high probability error bounds. Both non-asymptotic analysis of the method and numerical simulation results are presented and discussed in the paper.

Topik & Kata Kunci

cs.MA cs.LG

Penulis (3)

Krzysztof Kowalczyk

Paweł Wachel

Cristian R. Rojas

Format Sitasi

APA MLA BibTeX

Kowalczyk, K., Wachel, P., Rojas, C.R. (2024). Kernel-based learning with guarantees for multi-agent applications. https://arxiv.org/abs/2404.09708

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓