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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| 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 |