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Multi-agent Systems have emerged as an active sub field of Artificial Intelligence. Machine learning techniques have played a significant role by handling the inherent complexity of such systems. Robotic Soccer is a typical multi-agent system, wherein the challenge is to develop and hone the skills of the agents that take part in the game. For an indepth and sophisticated understanding of the game, soccerplaying agents must possess the capability to learn and acquire low-level skills. Thesedoi:10.1109/ichis.2004.81 dblp:conf/his/SarjeCN04 fatcat:naxrxplzqres7jsxj42z5fwhqi