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Architecture design and key technologies analysis of wargaming AI for sea-air cross-domain coordination

SU Jiongming, LUO Junren, CHEN Shaofei, XIANG Fengtao

Zhihui Kongzhi Yu Fangzhen, 2024-04, Vol.46 (2), p.35-43

Editorial Office of Command Control and Simulation

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  • Título:
    Architecture design and key technologies analysis of wargaming AI for sea-air cross-domain coordination
  • Autor: SU Jiongming, LUO Junren, CHEN Shaofei, XIANG Fengtao
  • Assuntos: sea-air wargame|cross-domain cooperation|wargaming|multi-agent|intelligent gaming|model architecture|hierarchical reinforcement learning
  • É parte de: Zhihui Kongzhi Yu Fangzhen, 2024-04, Vol.46 (2), p.35-43
  • Descrição: The breakthrough and progress of intelligent gaming technology with deep reinforcement learning as the core in the field of games provide a method reference for the research of agents in sea-air wargames. The architecture design of the agent is the primary core key problem that needs to be solved, and a good architecture can reduce the complexity and difficulty of training and accelerate the convergence of policies. A stochastic game model of sea-air cross-domain cooperative decision-making has been proposed, and its corresponding equilibrium solution concepts have been analyzed. Based on the analysis of typical agent frameworks, aiming at the decision-making gaming process of sea-air wargames, and then an agent bi-level architecture based on multi-Agent hierarchical reinforcement learning is proposed, which can effectively solve the problems of collaboration and dimensional disaster. The key technologies are analyzed from four aspects: force coordination, agent network design, adversary modeling and training
  • Editor: Editorial Office of Command Control and Simulation
  • Idioma: Chinês
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