q-learning method q学习方法
Q learning method is used in intelligence planning path with magnets to achieve the shortest path search, obstacle avoidance, task scheduling and so on.
采用Q学习方法进行磁钉路径的智能规划，实现最短路径寻找，同时解决了任务调度及避障等问题。
The result of simulation illustrates that the signal control method based on Q-Learning is better than fixed-time control, actuated control and signal control based on genetic algorithms.
仿真实验的结果表明，基于Q -学习的信号控制方法优于定时控制、感应式控制和基于遗传算法的信号控制方法。
For reinforcement learning control in continuous Spaces, a Q-learning method based on a self-organizing fuzzy RBF (radial basis function) network is proposed.
针对连续空间下的强化学习控制问题，提出了一种基于自组织模糊rbf网络的Q学习方法。
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