Mastersthesis,

Decision Making in a Multi-Agent Planning versus Learning

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Graz University of Technology, Graz, Austria, (January 2008)

Abstract

Within the research field of autonomous agents, decision making is a central topic. In this thesis two different approaches - one by planning and an alternative one via learning are described in their application. While the current implementation of the planning system is based on a Prolog backend, the learning approach is implemented with a reinforcement Q-learning algorithm. The environment of the application is the system of KickOffTUG, the RoboCup 2D Soccer Simulation League team of Graz, University of Technology. Within this work both approaches are compared and evaluated to discover their strengths and weaknesses. It could be shown that…(more)

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