Computer Science ›› 2005, Vol. 32 ›› Issue (8): 128-130.

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Zhang HuaXiang;Huang ShangTeng   

  • Online:2018-11-17 Published:2018-11-17

Abstract: The multi-agent decision based on fuzzy knowledge is discussed. The agent's fuzzy reward is proposed under the fuzzy knowledge of different decision goals, and a gradient learning algorithm is described to learn the agent's action policy under fuzzy rewar

Key words: Fuzzy set, Game, Gradient learning

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