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    支持强化学习多智能体的网电博弈仿真平台

    A Network-Electric Game Simulation Platform Supporting Reinforced Learning Multi-Agents

    • 摘要: 多智能体博弈仿真平台, 可为智能网电作战单元提供智能体训练和验证环境, 可为网电智能体提供任务场景、训练数据并评估训练结果. 分析并设计了网电作战多智能体博弈仿真平台的主要功能、组成架构、逻辑架构和应用流程, 最后对智能体模型设计架构、业务建模思路、奖励函数定义、典型业务场景等关键问题进行了分析研究, 通过博弈仿真平台, 可大大提升多智能体训练效率.

       

      Abstract: A multi-agent game simulation platform can provide a training and validation environment as well as task scenarios, training data and evaluation results for the intelligent network electric warfare unit. The main functions, composition structure, logical architecture and application flow of network-electric warfare multi-agent game simulation platform are analyzed and designed. Finally, some key issues are analyzed, such as the agent model design architecture, business modeling ideas, reward functions definitions, typical tactical scenarios. The simulation platform can greatly improve the training efficiency of the multi-agent.

       

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