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Emergent collaborative scheduling in satellite swarms: A distributed multi-agent reinforcement learning approach with adaptive experience evolution
Evolutionary resilience in open multiagent optimization: From preset trust to emergent defense
Can defensive behavior in multiagent optimization emerge through evolutionary competition rather than being pre-installed? We study this question in open, adversarial environments where agents can enter, leave, or be compromised, and where the global optimum drifts continuously as the agent pool changes, thereby creati...