搜索资源列表
Qlearning算法
- 关于增强学习的一个例子，Q-learning算法，和大家分享。-An example of reinforcement learning, and to share.
Q
- 手机上的SLG游戏，完整的RES代码，可提学习使用-SLG phone games, complete RES code, will be provided as learning to use
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 closel
ILC
- 迭代学习控制的matlab程序，m文件结合simulink实现。-Iterative Learning Control matlab program, m file with simulink realization.
Qlearning
- Q学习的很好的例子 可以拿去看看 非常适合人工智能初学者-Q learning can have it look good example of artificial intelligence is very suitable for beginners
Q
- 实用windows系统窗口界面模板（加工具栏、背景图片），可供学习-Utility windows system window interface template (plus toolbars, background images), for learning
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
src
- machine learning + sarsa + q learning source code
lgorithm
- 认知雷达中基于Q学习的自适应波形选择算法Cognitive radar-based Q-learning adaptive waveform selection algorithm-Cognitive radar-based Q-learning adaptive waveform selection algorithm
QLearning
- Q Learning reinforcement algorithm based on AI implemented in Java.
QDemo
- 强化学习是人工智能中策略学习的一种。本程序提供一强化学习事件Q-learning demo，并绘制图形进行形象化演示。-Reinforcement learning is a kind of artificial intelligence in the strategic study。This program provides a Q-learning demo with plotting.
QDemo
- 本人编写的一个Q学习最优路径学习程序，动态显示学习过程和试验次数-I prepared the best path to learning Q-learning program, dynamic display of the learning process and the number of tests
a-q-learning
- 认知无线电频谱分配方面的英文文献，很经典，适合这方面的研究人员参考。-The English literature of cognitive radio spectrum allocation, the classic reference for researchers.
mtncar
- RL在求解标准小车爬山问题时的matlab程序，采用算法为经典的Q学习算法-RL matlab program in solving mountaincar problem， the algorithm is the classic Q-learning algorithm
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
k-means
- 基于k均值的强化学习的状态和动作的选择，可以有效的解决维灾难问题。-q learning with k-means
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.
mdp-q
- 强化学习的谱聚类算法，实现基于图割的状态聚类-Reinforcement Learning spectral clustering algorithm to achieve the state of clustering based on graph cuts
RBF改进算法的Q-Learing路径规划MATLAB仿真
- 用RBF改进算法的Qlearning算法matlab仿真(Matlab simulation of qlearning algorithm improved by RBF)