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- W2101873678 abstract "This paper presents a novel Fuzzy Sarsa(λ) Learning (FSλL) approach applied to a strategic route leaning task of a mobile robot. FSlambdaL is a hybrid architecture that combines reinforcement learning and fuzzy logic control. The Sarsa(λ) learning algorithm is used to tune the rule-base of a fuzzy Logic controller which has been tested in a route learning task. The robot explores its environment using its fixed experience provided by a discretized fuzzy logic controller, and then learns optimal policies to achieve goals in less time and less error." @default.
- W2101873678 created "2016-06-24" @default.
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- W2101873678 date "2006-10-01" @default.
- W2101873678 modified "2023-10-18" @default.
- W2101873678 title "The Fuzzy Sars'a'(λ) Learning Approach Applied to a Strategic Route Learning Robot Behaviour" @default.
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- W2101873678 doi "https://doi.org/10.1109/iros.2006.282215" @default.
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