• In this paper, we propose a fuzzy reinforcement algorithm, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.

    论文提出模糊强化学习算法通过模糊推理系统连续状态空间映射连续的动作空间,然后通过学习得到一个完整的规则库。

    youdao

  • A fuzzy Q learning algorithm is proposed in this dissertation, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.

    首先,提出模糊Q学习算法通过模糊推理系统连续状态空间映射连续的动作空间,然后通过学习得到一个完整的规则库。

    youdao

  • A fuzzy Q learning algorithm is proposed in this dissertation, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.

    首先,提出模糊Q学习算法通过模糊推理系统连续状态空间映射连续的动作空间,然后通过学习得到一个完整的规则库。

    youdao

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