搜索资源列表
Ant-Q.rar
- 一个很好的蚁群算法程序,我读研的时候写的.,Ant colony algorithm a very good program, I wrote读研time.
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
Q-learning-simulation
- Q-Learn算法的代码实现 比较详细逼真-the C++code of Q-learn algorithm.
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
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
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.
Q-Learing-path-planning-MATLAB
- 基于增强学习Q-learning方法的路径规划matlab仿真程序-Based on the enhanced learning Q-learning method of path planning matlab simulation program
Q-Learning-in-Python-master
- 使用python简单实现q-learning的功能(Simple implementation of q-learning function using python)
ql_sarsa.py
- Reinforcement Learning, Q-learning algorithm, originally coded
qlearning4k-master
- qlearning4k是强化学习Python深度学习lib库Keras插件。它简单，是快速成型的理想选择。(Qlearning4k is a reinforcement learning add-on for the python deep learning library Keras. Its simple, and is ideal for rapid prototyping.)
deep_q_rl-master
- This package provides a Lasagne/Theano-based implementation of the deep Q-learning algorithm described in: Playing Atari with Deep Reinforcement Learning Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierst
code
- Q-learning 算法实现AGV的最优路径规划，实测效果非常好，对于研究深度学习和强化学习的同学很有帮助！(The Q-learning algorithm realizes the optimal path planning of AGV, and the measured results are very good. It is very helpful for students who are studying deep learning and reinforcement learn
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.)
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)