Agent-based Negotiation with Q-learning

Abstract

In this study, we consider a nonzero-sum bargaining game with imperfect information in which two players exchange resources to achieve individual goals. One of the two players learns how to achieve the goal through repeated games using Q-learing. Experiment results show that a learning player can learn winning strategies against cooperative and non-cooperative players.