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。
According to the problem of mobile robot navigation in the unknown environment, a hybrid control method based on hierarchical reinforcement learning (HRL) is proposed.
针对未知环境下的移动机器人导航问题，本文提出了一种基于分层式强化学习的混合式控制方法。
An average reward reinforcement learning algorithm for control Markov chains is presented.
讨论平均准则控制马氏链的强化学习算法。
A neural network controller is designed based on reinforcement learning neural network framework to achieve adaptive control of velocity tracking.
然后基于强化学习神经网络结构设计神经网络控制器以取得车速跟踪的自适应控制。
Based on neural network and combined with adaptive capability of reinforcement learning, it can execute velocity tracking control through online learning of neural network.
该控制方法基于神经网络并结合强化学习的自适应能力，通过神经网络的在线学习对车速进行跟踪控制。
The former one is a new approach combining reinforcement learning with feedback control.
基于强化学习的多指手控制方法，该方法将反馈控制与强化学习相结合。
A fighter safe landing lateral-directional control method is presented based on reinforcement learning algorithm (RL), using hierarchical control of dynamical large-scale systems theory.
基于大系统递阶控制思想，提出了一种运用再励学习算法设计歼击机自动着陆横侧向协调控制系统的方法。
For vector control AC drive system, the thesis presented a fuzzy neural network speed controller based on reinforcement learning.
针对矢量控制交流调速系统，该文提出并设计了一种基于再励学习的模糊神经网络速度控制器。
The reinforcement learning is adopted to control and decision for AUV, and Q-learning, BP neural net, artificial potential is integrated to avoidance planning for AUV.
主要采用强化学习的方法对AUV进行控制和决策，综合Q学习算法、BP神经网络和人工势场法对AUV进行避碰规划。
Absrtact: The reinforcement learning has been proved to be a new applicable method in control field.
摘要：激励学习已被证明是在控制领域中一种可行的新方法。
Absrtact: The reinforcement learning has been proved to be a new applicable method in control field.
摘要：激励学习已被证明是在控制领域中一种可行的新方法。
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