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Reinforcement learning and tuning for neural network based fuzzy logic controller

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5 Author(s)
Gengfeng Wu ; Sch. of Comput. Eng. & Sci., Shanghai Univ., China ; Hongjin Sun ; Jianquan Dong ; Min Cao
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Proposes a reinforcement neural network based fuzzy logic controller (RNNFLC) for solving reinforcement learning and tuning problems. A simplified and effective reinforcement based learning algorithm is proposed to generate fuzzy rules automatically. A reinforcement-tuning algorithm is introduced to tune the membership function. The RNNFLC is applied to a cart-pole balancing system and shows significant improvements

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Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on  (Volume:3 )

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