Cargando…
The Convergence of a Cooperation Markov Decision Process System
In a general Markov decision progress system, only one agent’s learning evolution is considered. However, considering the learning evolution of a single agent in many problems has some limitations, more and more applications involve multi-agent. There are two types of cooperation, game environment a...
Autores principales: | Mo, Xiaoling, Xu, Daoyun, Fu, Zufeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597243/ https://www.ncbi.nlm.nih.gov/pubmed/33286724 http://dx.doi.org/10.3390/e22090955 |
Ejemplares similares
-
Markov processes: characterization and convergence
por: Ethier, Stewart N, et al.
Publicado: (2009) -
On the convergence of projective-simulation–based reinforcement learning in Markov decision processes
por: Boyajian, W. L., et al.
Publicado: (2020) -
Uniquely Satisfiable d-Regular (k,s)-SAT Instances
por: Fu, Zufeng, et al.
Publicado: (2020) -
(1,0)-Super Solutions of (k,s)-CNF Formula
por: Fu, Zufeng, et al.
Publicado: (2020) -
Markov decision processes with their applications /
por: Hu, Qiying
Publicado: (2008)