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NTIS 바로가기韓國軍事科學技術學會誌 = Journal of the KIMST, v.26 no.4, 2023년, pp.361 - 370
이슬기 ((주)씨피프티원 기술연구소) , 김권일 ((주)씨피프티원 기술연구소) , 윤석민 (국방과학연구소 국방첨단과학기술연구원 인공지능자율센터)
Swarm has recently become a critical component of offensive and defensive systems. Multi-agent reinforcement learning(MARL) empowers swarm systems to handle a wide range of scenarios. However, the main challenge lies in MARL's scalability issue - as the number of agents increases, the performance of...
https://www.newspim.com/news/view/20230106000810
https://www.bbc.com/korean/international-49705340
https://www.darpa.mil/work-with-us/offensive-swarmenabled-tactics
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