Abstract

. The following paper describes the design principles of decision making in the Karlruhe Brainstormers team that participated in the RoboCup Simulator League in Stockholm 1999. It is based on two basic ingredigents: the priority - probability - quality (PPQ) concept is a hybrid rule-based/ learning approach for tactical decisons, whereas the denition of goal-orientented moves allows to apply neural network based reinforcement learning techniques on the lower level. 1 Introduction The main interest behind the Karlsruhe Brainstormer's eort in the robocup soccer domain is to develop and to apply machine learning techniques in complex domains. Especially, we are interested in Reinforcement Learning methods, where the training signal is only given in terms of success or failure. So our nal goal is a learning system, where we only plug in 'Win the match' - and our agents learn to generate the appropriate behaviour. Unfortunately, even from very optimistic complexity estimations it...