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The design of PBC mode Priority tabel of Recovery Agent simulation based on Reinforcement Learning
The design of PBC mode Priority tabel of Recovery Agent simulation based on Reinforcement Learning
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机译:基于强化学习的恢复剂仿真PBC模式优先表的设计
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摘要
The present invention relates to a damage recovery agent and a method that can be applied in the “simulation-based organizational unit emergency training technology simulation” to which reinforcement learning is applied. It relates to the damage recovery agent applied with the AI control level for designing and implementing the organizational unit emergency preparedness training technology” system and its method. To this end, the emergency recovery agent management tool uses AI through reinforcement learning in the simulation situation linked to the military situation in preparation for excessive time delays and errors of the model operator when designing a simulation-based emergency training technology development project for damage recovery. It is characterized by proposing a damage recovery agent system that adjusts/controls the damage recovery agent so that the automatic damage recovery simulation is performed by the priority algorithm of the PBC (perceived behavior control) mode.
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