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- A reinforcement learning controller based on CMAC neural networks using triangulation was studied and applied to the learning control of intercepting a ball in the RoboCup. 研究了一种基于三角剖分的小脑模型的增强学习控制器设计方法，并应用于机器人足球中单机器人截球的学习控制中。
- Reinforcement Learning Control of an Electrohydraulic Position Servo System 电液位置伺服系统的再励学习控制研究
- Online Reinforcement Learning Control Method for Urban Traffic Signal of Single Intersection 基于在线学习的单路口信号灯强化学习控制
- reinforcement learning control 再励学习控制
- Tasks that fall within the paradigm of reinforcement learning are control problems, games and other sequential decision making tasks. 属于增强式学习的典范的工作是控制问题、赛局理论和其他连续的决策制定工作。
- In this case, LFFC is similar to Iterative Learning Control (ILC). 在这种情况下,LFFC与迭代学习控制(ILC)相似。
- But reinforcement learning is bedeviled by the curse of dimensionality. 但强化学习方法一直被维数灾难所困扰。
- The fuzzy neural network (FNN) and reinforcement learning (RL) are integrated. 将模糊神经网络与强化学习理论相结合，构成模糊强化系统。
- Based on reinforcement learning, a novel adaptive control algorithm is proposed for the complex systems which have the characteristics of speediness, multiple variables, serious nonlinear. 本文针对快速、多变量、强非线性的复杂系统的控制问题,在强化学习方式的基础上,提出一种新的自适应控制方法。
- Guan Ping, Liu Xingqiao, Chen Jiabin.Neuro-fuzzy control of satellite attitude by reinforcement learning [J].Transactions of Beijing Institute of Technology,2003,23(3):313-316. (in Chinese). [2]管萍;刘星桥;陈家斌.;卫星姿态再励学习的模糊神经控制[J]
- This paper adopts reinforcement learning method to accomplish robot soccer cooperation strategy. 利用强化学习方法实现足球机器人协作策略。
- It improves the reinforcement learning method to adapt for the multi-agent learning environment. 它改进了传统的单智能体增强式学习方法，以适应多智能体环境的智能学习。
- Iterative learning control (ILC) is a new intelligent control method in these two decades. 迭代学习控制是近二十年来发展起来的一种新的智能控制方法。
- ANNs are frequently used in reinforcement learning as part of the overall algorithm. 类神经网络被用在增强式学习整体演算法的一部分。
- A new hybrid supervised learning control scheme is presented for continuous stirred tank reactor (CSTR)systems. 提出了一种连续搅拌反应釜(CSTR)的混合监督学习控制方法。
- A dynamic and real-time system integrating reinforcement learning with simulation is designed for job-shop scheduling. 摘要设计了一个强化学习和仿真相结合的动态实时车间作业排序系统。
- The result indicates that the first order P-type open-closed loop iterative learning control can implement gait tracking well. 结果表明，一阶P型开闭环学习控制能够很好实现仿生腿对人工腿步态的跟踪。
- As one of machine learning, reinforcement learning not only has this function but also can expand the acquisitive resource. 作为机器学习的一种方法，增强学习恰可使知识的获取过程自动化，并扩展所能得到的知识资源范围。
- By novel initial state learning, the assumption on initial repositioning is relaxed for the conventional iterative learning control. 摘要提出一种新的初态学习律，以放宽常规迭代学习控制方法的初始定位条件。
