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https://hdl.handle.net/10356/4204
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 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
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EEE-THESES_262.pdf | 4.05 MB | Adobe PDF | View/Open |
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