Reinforcement learning of player agents in RoboCup soccer simulation

Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems

Volumn , Issue , 2005, Pages 480-481

  Sarje, Abhinav ^a   Chawre, Amit ^b   Nair, Shivashankar B ^c  

^a CENTRE FOR DEVELOPMENT OF TELEMATICS   (India)

^b Reliance Infocomm Ltd   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; GAME THEORY; MULTI AGENT SYSTEMS; REINFORCEMENT; ROBOTICS;

INHERENT COMPLEXITY; LOW-LEVEL SKILLS; PLAYER AGENTS; REINFORCEMENT LEARNING;

LEARNING SYSTEMS;

EID: 28344456075     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. RoboCup Federation: Goals of RoboCup. http://www.robocup.org/overview/22. html, 2000.
2. M. Riedmiller. A Reinforcement Learning approach to robotic soccer. RoboCup 2000, Berlin: Springer-Verlag, 2001.
3. M. Riedmiller. Karlruhe Brainstormers - Design Principles. Robocup 2002 team descriptions, 2002.
4. P. Stone. A Layered approach to learning client behaviours in RoboCup soccer. Applied Artifi cial Intelligence, 12, 1998.
5. P. Stone. Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer. MIT Press, Cambridge, 2000.
6. R. Sutton. Reinforcement Learning: An Introduction. MIT Press, Cambridge, 1998.