MatlabFAQ

This book is about Biomass.

Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.

说明：  基于Simulink搭建的燃料电池系统级仿真模型，适合相关matlab专业学生交流学习。(The fuel cell system level simulation model based on Simulink is suitable for the students majoring in MATLAB.)

路径规划中群蚁优化算法的源代码，可通过修改程序自由设置障碍和地形(Group of ants in the path planning optimization algorithm source code, modify the program free by obstacles and terrain)

说明：  利用离散hopfield网络对图像进行去噪滤波，复原出效果较好的结果，要求初始存储的图像至少10幅以上，编程实现(Network using discrete hopfield image denoising filter, a better recovery result, the initial stored image requires at least 10 or more, programming)

说明：  解决matlab 7.0 simulink不能保存的问题，将本文件放在work目录下，重启matlab即可(Solve matlab 7.0 simulink can not save the problem, work on this document directory, you can restart matlab)

刘老师的变结构控制，修改了符号函数，解决了抖振问题。( Variable Structure Control , modify the symbolic function to solve the chattering problem.)

UN AUTRE MONDE DE LA VISION.............MATLAB..................SEGMENTATION

circle-meshgeneration-FEM-electromagnetic from kntu

nearest neighbor algorithm with orl database