用一种，可以说是经典力学的方式，连续的状态，都带有不同的能量，它很难。

In a, sort of, classical mechanic sense, a continuum of states, all with different energies. It's hard.

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罩部(7、8)的缘部的外周面与座体(10)的外周面之间的连接部位构成为没有层差的平滑连续的状态。

Connection part of the outer peripheral face of edge of the cover section (7, 8) and outer peripheral of the base body (10) constitutes a smooth continuous state without layer difference.

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论文提出一种模糊强化学习算法，通过模糊推理系统将连续的状态空间映射到连续的动作空间，然后通过学习得到一个完整的规则库。

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.

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