FUZZY REINFORCEMENT LEARNING FOR EMBEDDED SOCCER AGENTS IN A MULTI-AGENT CONTEXT
- 1 January 2006
- journal article
- Published by ACTA Press in International Journal of Robotics and Automation
- Vol. 21 (2), 110-119
- https://doi.org/10.2316/journal.206.2006.2.206-2795
Abstract
The work presented in this paper aims at combining fuzzy functionapproximation and reinforcement learning in order to create roboticsoccer agents that are able to coordinate their behaviours locallyand socially while learning from experience.Keywords
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