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- W2163859348 abstract "This paper provides the first convergence proof for fuzzy reinforcement learning. We extend the work of Konda and Tsitsiklis (2000), who presented a convergent actor-critic algorithm for a general parameterized actor. In our work we prove that a fuzzy rule base actor satisfies the necessary conditions that guarantee the convergence of its parameters to a local optimum. Our fuzzy rule base uses the Takagi-Sugeno-Kang rules, Gaussian membership functions and product inference." @default.
- W2163859348 created "2016-06-24" @default.
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- W2163859348 date "2005-08-25" @default.
- W2163859348 modified "2023-09-25" @default.
- W2163859348 title "On convergence of fuzzy reinforcement learning" @default.
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- W2163859348 doi "https://doi.org/10.1109/fuzz.2001.1009030" @default.
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