Interaction-driven Markov games for decentralized multiagent planning under uncertainty

  title={Interaction-driven Markov games for decentralized multiagent planning under uncertainty},
  author={Matthijs T. J. Spaan and Francisco S. Melo},
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problems in which interaction among agents is a local phenomenon. To this purpose, we explicitly distinguish between situations in which agents should interact and situations in which they can afford to act independently. The agents are coupled through the joint rewards and joint transitions in the states in which they… CONTINUE READING
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