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해상 전장 환경에서의 협력적 멀티 에이전트 강화학습 적용을 위한 시뮬레이터의 설계 및 구현
김경범,문수정,진우빈,이혁준 한국통신학회 2024 韓國通信學會論文誌 Vol.49 No.1
With the recent changes in the technology and industrial system of the 4th Industrial Revolution, research on innovative future unmanned systems continues to increase in the marine defense industry sector. There is a great interest in multi-agent cluster control systems in unmanned systems. In the case of multi-agent cluster control systems, there are usually many complex and dynamic problems, so reinforcement learning algorithms are effective to solve these problems. However, there is a deficiency in simulators for verifying multi-agent algorithms in a realistic naval battle environment. Therefore, this study proposes a simulator based on cooperative scenarios of Unmanned Surface Vehicles (USVs) utilizing the MA-POCA (Multi-Agent Posthumous Credit Assignment) reinforcement learning algorithm. Implemented simulator is utilized to compare the learning performance of various multi-agent algorithms through combat tests with simulated adversaries, specifically rule based USVs.