AI RESEARCH
CAMA: Exploring Collusive Adversarial Attacks in c-MARL
arXiv CS.AI
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ArXi:2603.20390v1 Announce Type: cross Cooperative multi-agent reinforcement learning (c-MARL) has been widely deployed in real-world applications, such as social robots, embodied intelligence, UAV swarms, etc. Nevertheless, many adversarial attacks still exist to threaten various c-MARL systems. At present, the studies mainly focus on single-adversary perturbation attacks and white-box adversarial attacks that manipulate agents' internal observations or actions.