According the real-time demand of manipulator control,the Sarsa(λ)algorithm,which was combined with K-means clustering algorithm,has been selected for its on-policy feature and efficiency.
采用基于K-均值聚类的强化学习方法作为基
的控制策略,给出
系统算法的具体实施过程。
According the real-time demand of manipulator control,the Sarsa(λ)algorithm,which was combined with K-means clustering algorithm,has been selected for its on-policy feature and efficiency.
采用基于K-均值聚类的强化学习方法作为基的控制策略,给出系统算法的具体实施过程。
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