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Q-learning optimization in a multi-agents system for image segmentation (1311.6054v1)

Published 23 Nov 2013 in cs.AI

Abstract: To know which operators to apply and in which order, as well as attributing good values to their parameters is a challenge for users of computer vision. This paper proposes a solution to this problem as a multi-agent system modeled according to the Vowel approach and using the Q-learning algorithm to optimize its choice. An implementation is given to test and validate this method.

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