A comparative study of policies in Q-learning for foraging tasks
Q-learning is a machine learning technique that learns what to do and how to map states to actions to maximize rewards. Q-learning has been applied to various tasks such as foraging, soccer and prey-pursuing robots. In this paper, a simple foraging task has been considered to study the influences of...
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| Main Authors: | , , |
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2017
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| Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/6522 |
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