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Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning

Büchi, Hannes et al.
arXiv (All) · Papers
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machine-learningmultiagent-systems
Effective multi-agent cooperation requires agents to adopt diverse behaviors as task conditions evolve-and to do so at the right moment. Yet, current Multi-Agent Reinforcement Learning (MARL) frameworks that facilitate this diversity are still limited by the fact that they bind fixed behaviors to fi
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