Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning

Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. In this paper we formalize and prove the convergence of a Distributed Round...

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Detalles Bibliográficos
Autores principales: Fernandez-Gauna, Borja, Etxeberria-Agiriano, Ismael, Graña, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4497621/
https://www.ncbi.nlm.nih.gov/pubmed/26158587
http://dx.doi.org/10.1371/journal.pone.0127129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4497621/
https://www.ncbi.nlm.nih.gov/pubmed/26158587
http://dx.doi.org/10.1371/journal.pone.0127129

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