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Authors:Martin Riedmiller: University of Karlsruhe, ILKD, Germany
Sebastian Buck: University of Karlsruhe, ILKD, Germany
Sergio Dilger: University of Karlsruhe, ILKD, Germany
Ralf Ehrmann: University of Karlsruhe, ILKD, Germany
Artur Merke: University of Karlsruhe, ILKD, Germany
Publication title:Karlruhe Brainstormers - Design Principles
Conference:RobocCup-99 Team Descriptions. Simulation League
Publication type: Abstract and Fulltext
Issue:004
Article No.:013
Abstract:The following paper describes the design principles of the Karlruhe Brainstormers team for the RoboCup Simulator League. The basic motivation behind our approach is to broadly apply Machine Learning techniques. In particular; our longterm goal is to apply Reinforcement Learning techniques to autonomously learn team playing capabilities. This longterm goal determined the structure of the decision module; which has to choose between several available high-level moves based on evaluation functions. We plan to reach the final autonomously learning agent in several stages. The current version uses a hybrid decision module with both rule-based and learning components.
Language:English
Year:1999
No. of pages:5
Pages:59-63
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ea/cis/1999/007/13/cis9900713.pdf
Available:1999-12-15
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
Martin Riedmiller, Sebastian Buck, Sergio Dilger, Ralf Ehrmann, Artur Merke (1999). Karlruhe Brainstormers - Design Principles, RobocCup-99 Team Descriptions. Simulation League http://www.ep.liu.se/ecp_article/index.en.aspx?issue=004;article=013 (accessed 10/2/2014)