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|Title:||Fuzzy reinforcement learning and its applications to mobile robot navigation||Authors:||Deng, Chang||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics||Issue Date:||2005||Source:||Deng, C. (2005). Fuzzy reinforcement learning and its applications to mobile robot navigation. Doctoral thesis, Nanyang Technological University, Singapore.||Abstract:||Fuzzy logic is a mathematical approach to emulate the human way of thinking. It has been shown that fuzzy logic could serve as a powerful methodology for dealing with imprecision and nonlinearity efficiently. However, the conventional way of designing a fuzzy system has been a subjective approach. If the fuzzy system somehow possesses learning abilities, an enormous amount of human efforts would be saved from tuning the system.||URI:||https://hdl.handle.net/10356/4204||DOI:||10.32657/10356/4204||Rights:||Nanyang Technological University||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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