Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation

Development of distributed Multi-Agent Reinforcement Learning (MARL) algorithms has attracted an increasing surge of interest lately. Generally speaking, conventional Model-Based (MB) or Model-Free (MF) RL algorithms are not directly applicable to the MARL problems due to utilization of a fixed rewa...

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Detalles Bibliográficos
Autores principales: Salimibeni, Mohammad, Mohammadi, Arash, Malekzadeh, Parvin, Plataniotis, Konstantinos N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962978/
https://www.ncbi.nlm.nih.gov/pubmed/35214293
http://dx.doi.org/10.3390/s22041393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962978/
https://www.ncbi.nlm.nih.gov/pubmed/35214293
http://dx.doi.org/10.3390/s22041393

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