Mobile Robot Navigation Using Dynamic Fuzzy Q-learning
نویسنده
چکیده
Fuzzy logic is a mathematical approach towards the human way of thinking and learning. Based on if-then rules, we can design fuzzy controllers with the intuitive experience of human beings. However, it is not practical for a designer to find necessary number of rules and determine appropriate parameters by hand. Hence, we incorporate a reinforcement learning method with basic fuzzy rules so that the the controller can be tuned online. In this paper, we present Dynamic Fuzzy Q-Learning (DFQL).
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