Policy Gradient Method for Team Markov Games

The main aim of this paper is to extend the single-agent policy gradient method for multiagent domains where all agents share the same utility function. We formulate these team problems as Markov games endowed with the asymmetric equilibrium concept and based on this formulation, we provide a direct policy gradient learning method. In addition, we test the proposed method with a small example problem.

• Type: Conference
• Year: 2004
• Where: IDEAL
• Authors: Ville Könönen
• Keywords: Asymmetric Equilibrium Concept, Gradient Learning Method, IDEAL 2004, Policy Gradient Method