Machine learning in simulated RoboCup
Independent thesis Advanced level (degree of Master (One Year))Student thesisAlternative title
Maskininlärning i den simulerade RoboCup ligan (Swedish)
An implementation of the Electric Field Approach applied to the simulated RoboCup is presented, together with a demonstration of a learning system. Results are presented from the optimization of the Electric Field parameters in a limited situation, using the learning system. Learning techniques used in contemporary RoboCup research are also described including a brief presentation of their results.
Place, publisher, year, edition, pages
2003. , 26 p.
Self-learning, Parameter optimization, Simulated RoboCup, Multi- Agent system, Electric Field Approach
IdentifiersURN: urn:nbn:se:bth-3827Local ID: oai:bth.se:arkivexC460D540CB9D6635C1256D4F00788325OAI: oai:DiVA.org:bth-3827DiVA: diva2:831140