...网 关键词：强化学习；连续状态-连续行动；离散化；值函数逼近Reinforcement Learning with Continuous State-continuous Action [gap=912]Key words: reinforcement learning; continuous state-continuous action; discretization; value function approxima...
基于8个网页-相关网页
...网 关键词：强化学习；连续状态-连续行动；离散化；值函数逼近Reinforcement Learning with Continuous State-continuous Action [gap=912]Key words: reinforcement learning; continuous state-continuous action; discretization; value function approxima...
基于1个网页-相关网页
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。
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，提出一种模糊Q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。
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