Multi-Agent Learning Model with Bargaining

@article{Qiao2006MultiAgentLM,
  title={Multi-Agent Learning Model with Bargaining},
  author={Haiyan Qiao and Jerzy W. Rozenblit and Ferenc Szidarovszky and Lizhi Yang},
  journal={Proceedings of the 2006 Winter Simulation Conference},
  year={2006},
  pages={934-940}
}
Decision problems with the features of prisoner's dilemma are quite common. A general solution to this kind of social dilemma is that the agents cooperate to play a joint action. The Nash bargaining solution is an attractive approach to such cooperative games. In this paper, a multi-agent learning algorithm based on the Nash bargaining solution is presented. Different experiments are conducted on a testbed of stochastic games. The experimental results demonstrate that the algorithm converges to… CONTINUE READING

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