"Multi-Agent Reinforcement Learning in Adversarial Game Environments: ..."

Yeguang Qin et al. (2025)

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DOI: 10.1109/TMC.2025.3559123

access: closed

type: Journal Article

metadata version: 2025-09-11

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Yeguang Qin, Jie Tang, Fengxiao Tang, Ming Zhao, Nei Kato:
Multi-Agent Reinforcement Learning in Adversarial Game Environments: Personalized Anti-Interference Strategies for Heterogeneous UAV Communication. IEEE Trans. Mob. Comput. 24(9): 8886-8898 (2025)

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