Forward and Backward Bellman Equations Improve the Efficiency of the EM Algorithm for DEC-POMDP

Decentralized partially observable Markov decision process (DEC-POMDP) models sequential decision making problems by a team of agents. Since the planning of DEC-POMDP can be interpreted as the maximum likelihood estimation for the latent variable model, DEC-POMDP can be solved by the EM algorithm. H...

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Detalles Bibliográficos
Autores principales: Tottori, Takehiro, Kobayashi, Tetsuya J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145255/
https://www.ncbi.nlm.nih.gov/pubmed/33947054
http://dx.doi.org/10.3390/e23050551

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145255/
https://www.ncbi.nlm.nih.gov/pubmed/33947054
http://dx.doi.org/10.3390/e23050551

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