A mediator that dynamically selects leaders in Stackelberg MARL can induce self-interested agents to adopt fair policies, improving fairness of returns.
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders (Extended Version)
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abstract
We study the problem of computing correlated strategies to commit to in games with multiple leaders and followers. To the best of our knowledge, this problem is widely unexplored so far, as the majority of the works in the literature focus on games with a single leader and one or more followers. The fundamental ingredient of our model is that a leader can decide whether to participate in the commitment or to defect from it by taking on the role of follower. This introduces a preliminary stage where, before the underlying game is played, the leaders make their decisions to reach an agreement on the correlated strategy to commit to. We distinguish three solution concepts on the basis of the constraints that they enforce on the agreement reached by the leaders. Then, we provide a comprehensive study of the properties of our solution concepts, in terms of existence, relation with other solution concepts, and computational complexity.
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cs.MA 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning
A mediator that dynamically selects leaders in Stackelberg MARL can induce self-interested agents to adopt fair policies, improving fairness of returns.