Fuzzy modelling in reinforcement learning
A generic Fuzzy Input Takagi-Sugeno-Kang fuzzy framework (FITSK) is proposed to handle the different scenarios in this design problem. The online learning FITSK framework is extensible to both the zero-order and the first-order FITSK models. A localized version of Kalman filter algorithm is propose...
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| Format: | Theses and Dissertations |
| Published: |
2008
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| Online Access: | https://hdl.handle.net/10356/2428 |
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| Institution: | Nanyang Technological University |