A Multiphase Semistatic Training Method for Swarm Confrontation Using Multiagent Deep Reinforcement Learning

In this paper, we propose a multiphase semistatic training method for swarm confrontation using multi-agent deep reinforcement learning. In particular, we build a swarm confrontation game, the 3V3 tank fight, based on the Unity platform and train the agents by a MDRL algorithm called MA-POCA, coming...

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Detalles Bibliográficos
Autores principales: Cai, He, Luo, Yaoguo, Gao, Huanli, Chi, Jiale, Wang, Shuozhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348848/
https://www.ncbi.nlm.nih.gov/pubmed/37455769
http://dx.doi.org/10.1155/2023/2955442

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348848/
https://www.ncbi.nlm.nih.gov/pubmed/37455769
http://dx.doi.org/10.1155/2023/2955442

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