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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-3827 |
| Date | January 2003 |
| Creators | Bergkvist, Markus, Olandersson, Tobias |
| Publisher | Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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