Article | RobocCup-99 Team Descriptions. Simulation League | Karlruhe Brainstormers - Design Principles

Title:
Karlruhe Brainstormers - Design Principles
Author:
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
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Year:
1999
Conference:
RobocCup-99 Team Descriptions. Simulation League
Issue:
004
Article no.:
013
Pages:
59-63
No. of pages:
5
Publication type:
Abstract and Fulltext
Published:
1999-12-15
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
Linköping Electronic Articles in Computer and Information Science
ISSN (online):
1401-9841
Publisher:
Linköping University Electronic Press; Linköpings universitet


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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.

RobocCup-99 Team Descriptions. Simulation League

Author:
Martin Riedmiller, Sebastian Buck, Sergio Dilger, Ralf Ehrmann, Artur Merke
Title:
Karlruhe Brainstormers - Design Principles
References:

[1] A. G. Barto; S. J. Bradtke; and S. P. Singh. Learning to act using realtime dynamic programming. Arti cial Intelligence; (72):81-138; 1995.


[2] M. Riedmiller. Autonomously learning neural controllers. VDI-Verlag; 1996. Dissertation University of Karlsruhe (in german).


[3] Peter Stone and Manuela Veloso. Team-partitioned; opaque-transition reinforcement learning. In M. Asada and H. Kitano; editors; RoboCup- 98: Robot Soccer World Cup II. Springer Buch Verlag; 1998.

RobocCup-99 Team Descriptions. Simulation League

Author:
Martin Riedmiller, Sebastian Buck, Sergio Dilger, Ralf Ehrmann, Artur Merke
Title:
Karlruhe Brainstormers - Design Principles
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