D3C: Reducing the Price of Anarchy in Multi-Agent Learning

Kevin R. McKee
Kevin R. McKee
Richard Everett
Richard Everett
Edgar A. Duéñez-Guzmán
Edgar A. Duéñez-Guzmán
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Abstract:

Even in simple multi-agent systems, fixed incentives can lead to outcomes that are poor for the group and each individual agent. We propose a method, D3C, for online adjustment of agent incentives that reduces the loss incurred at a Nash equilibrium. Agents adjust their incentives by learning to mix their incentive with that of other ag...More

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