搜索资源列表
Q算法
- 强化学习算法 Q源码
q-learning.rar
- 强化学习的q学习算法,能够通过此算法，使得某种动作不断得到加强，希望对那些想使用Q学习算法的人有所帮助,ReinforcementLearning Q learning
fuzzylogicMATLAB
- 一个机器学习算法软件包，包括神经网络，模糊逻辑，支持向量机，采用MATLAB平台实现-A package of machine learning algorithms, including neural networks, fuzzy logic, support vector machine, using MATLAB platform
Qstudy
- 一段人工智能Q学习算法的程序实现，利用六格世界进行演示Q学习的过程。-Q learning algorithm of artificial intelligence for some of the program, using six grid world presentation Q learning process.
Q_learning
- 强化学习是人工智能中策略学习的一种，基于预期最大利益原则。和博弈论有密切的关系，也是多主体系统学习的常用方法。-Reinforcement learning is a kind of artificial intelligence in the strategic study, based on the principle of best interests is expected. And game theory are closely related, but also multi-agen
Qlearningcar
- Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。 -VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car us
mycode
- 这是一个用visual c++ 写的强化学习的Q学习代码，状态空间为四维-This is a visual c++ written with reinforcement learning Q-learning code, the state space for the four-dimensional
RL_Learning
- 详细的讲述强化学习中Q学习算法，并且应用在区域交通系统中，是适合初学者。-RL—learning,q_learning,transform system,for beginner
MFCPath
- 迷宫中最优路径搜索，使用Q学习、蚁群优化和遗传优化三种方法实现。以MFC形式实现。-The optimal path search in the maze, using the Q-learning, ant colony optimization and genetic optimization of the three methods to achieve. MFC in the form to achieve
Q-Learing-and-bp
- 强化学习和BP神经网络,利用该代码可以深入理解Q学习如何和BP神经网络结合在一起的。-reinforcement learning and BP neral net
multiagent_q_learning
- 多用户环境中，增强学习算法仿真实验，特别是多用户Q学习算法的应用-In multi-agent scenarios, this package provides a very good simulation tool for multi-agent Q-learning algorithm.
Q-learning_pendulum
- 采用强化学习算法对倒立摆的摆动过程进行学习，通过学习使其保持平衡状态-Reinforcement learning algorithm to learn the inverted pendulum swing process, by learning to balance state
Q-learning
- 介绍了Q学习的基本算法，这里面提供了一个小程序用于解决gridword的Q值计算问题-Q-learning algorithm which provides a small program for to solve gridword Q value calculated
MobileRobotSimQ
- 使用Q学习的一种强化学习算法，针对路径规划问题，用Q学习的方法解决-A method to solve planning the path, using Q_study, one method of reforence study.
Q-Learning
- q学习算法的C语言源代码，用在机器人探索未知环境的实例，关于rewards和环境的描述均有注解-q-learning algirethem
Q-Learning-Example-1
- Q-学习是一种重要的强化学习方法，提供一个Q-学习做路径规划的例子，初学者可以通过代码学习Q-学习的原理。-Q- learning is an important reinforcement learning methods, to provide an example of Q- learning to do path planning, beginners can learn the principles of Q- code.
matlab Q学习仿真
- Qdemo演示程序 Qlearning Q学习主程序 调用 drnd（随机变量生成函数） 任务改变时，要设当改变execut子函数和一些脚标变换函数。 用于打印状态的statements也要改一下。(Qdemo demo The main program Qlearning Q learning Call DRND generating function (random variables))
matlab Q学习仿真
- 基于Q学习算法，寻找最优路径，是强化学习中的一种，很实用，代码很详细，有备注(Searching for the optimal path based on Q algorithm is a kind of reinforcement learning. It is very practical, the code is very detailed, with notes.)
强化学习
- 基础的强化学习Q-learning算法，对初学者对Q-learning算法得理解比较有帮助，程序包括运行脚本，Q-learning算法脚本以及环境脚本。(Basic reinforcement learning Q-learning algorithm is helpful for beginners to understand Q-learning algorithm. Programs include running scr ipt, Q-learning algorithm scr ipt
Q学习实现资源分配
- 目前适用广泛的强化学习就是Q学习，此压缩包包含Q学习实现例程，用于解决资源分配问题。