Towards a Fuzzy-Based Model for Human-like Multi-Agent Negotiation

@article{Raeesy2007TowardsAF,
  title={Towards a Fuzzy-Based Model for Human-like Multi-Agent Negotiation},
  author={Zaynab Raeesy and Jakub Brzostowski and Ryszard Kowalczyk},
  journal={2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07)},
  year={2007},
  pages={515-519}
}
In the Q-Learning framework, the exploration of large environment is influenced by the time credit assignment problem. In this context, abstraction techniques may be used. Thus, multi-step actions (MSA) Q-Learning has been proposed to take advantage of the fact that few action switches are usually required in optimal policies. In this article, we propose the concept of inertial exploration, we apply a log-selection of the scales to MSA Q-Learning and we go further by proposing a dynamic time… CONTINUE READING
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