Bayesian reinforcement learning for coalition formation under uncertainty

@article{Chalkiadakis2004BayesianRL,
  title={Bayesian reinforcement learning for coalition formation under uncertainty},
  author={Georgios Chalkiadakis and Craig Boutilier},
  journal={Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004.},
  year={2004},
  pages={1090-1097}
}
Research on coalition formation usually assumes the values of potential coalitions to be known with certainty. Furthermore, settings in which agents lack sufficient knowledge of the capabilities of potential partners is rarely, if ever, touched upon. We remove these often unrealistic assumptions and propose a model that utilizes Bayesian (multiagent) reinforcement learning in a way that enables coalition participants to reduce their uncertainty regarding coalitional values and the capabilities… CONTINUE READING
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Tone Dieckmann, Ulrich Schwalbe
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