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arXiv · 1311.6054

Q-learning optimization in a multi-agents system for image segmentation

Issam Qaffou·Mohamed Sadgal·Abdelaziz Elfazziki
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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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Issam Qaffou, Mohamed Sadgal, Abdelaziz Elfazziki. 2013-11-23. Q-learning optimization in a multi-agents system for image segmentation. https://arxiv.org/abs/1311.6054

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