A parallel implementation of Q-learning based on communication with cache

Q-Learning is a Reinforcement Learning method for solving sequential decision problems, where the utility of actions depends on a sequence of decisions and there exists uncertainty about the dynamics of the environment the agent is situated on. This general framework has allowed that Q-Learning and...

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Detalles Bibliográficos
Autores principales: Printista, Alicia Marcela, Errecalde, Marcelo Luis, Montoya, Cecilia Inés
Formato: Articulo
Lenguaje:Inglés
Publicado: 2002
Materias:
Ciencias Informáticas
Parallel programming
Redes de Comunicación de Computadores
Informática
Aprendizaje
communication based on cache
reinforcement learning
asynchronous dynamic programming
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9432
http://journal.info.unlp.edu.ar/wp-content/uploads/p41.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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