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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| 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 |