Decentralized Anti-coordination Through Multi-agent Learning


To achieve an optimal outcome in many situations, agents need to choose distinct actions from one another. This is the case notably in many resource allocation problems, where a single resource can only be used by one agent at a time. How shall a designer of a multi-agent system program its identical agents to behave each in a different way? From a game… (More)
DOI: 10.1613/jair.3904


17 Figures and Tables


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