搜索资源列表
Q-learning-Reinforcement-learning
- 强化学习matlab源代码很少见的源代码，详细介绍Q学习的编程过程。-Reinforcement learning matlab source code，rare source code, detailed Q learning programming.
Iterative-learning
- 关于迭代学习的比较好的文章，迭代学习在间歇过程中的控制研究-Good article on the iterative learning
machine-learning-courses_stanford
- 斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。-The notes of Machine learning courses in Stanford University。
machine-learning-ex8
- 吴恩达老师Cousera上机器学习课程ex8关于协同滤波(Collaborative filtering learning algorithm)的向量化实现以及相关测试数据。(Teacher Andrew Ng Cousera machine learning courses, ex8 Collaborative filtering learning algorithm on the vector implementation and related test data.)
TRACKING LEARNING DETECTION
- 《TRACKING LEARNING DETECTION》视觉追踪理论，Zdenek Kalal著(Visual tracking is the process of locating an object in a video sequence.)
Active Learning Literature Survey
- 系统地讲解了主动学习的方法，QBC算法，投票熵等等(The methods of active learning, QBC algorithm, voting entropy and so on are systematically explained)
Machine learning
- Machine learning, supervised
MACHINE LEARNING FROM MATHWORK HANDBOOK 1
- Handbook for Machine Learning
MACHINE LEARNING FROM MATHWORK HANDBOOK 2
- Handbook for Machine Learning 2
MACHINE LEARNING FROM MATHWORK HANDBOOK 3
- Handbook for Machine Learning 3
MACHINE LEARNING FROM MATHWORK HANDBOOK 4
- Handbook for Machine Learning 4
Apress.MATLAB.Deep.Learning.1484228448
- deep learning with matlab
machine-learning-ex1
- Standford machine-learning 网课第一周编程作业，线性回归的算法实现。(Standford machine-learning method first week of programming operations, the realization of the linear regression algorithm.)
Chapter 6 (Temporal Difference Learning)
- 讲解强化学习中的Q学习和sarsa学习，并通过具体实例讲解怎样运用这些学习方法(Explain Q learning and sarsa learning in intensive learning, and explain how to use these learning methods through concrete examples)
Q-Learning-master
- Successfully implemented Q-Learning for a simple robot navigation problem of a robot moving on a 5 x 5 grid with one arbitrary goal (reward of +10) and three arbitrary obstacles (reward of -10)
reinforcement-learning-robot-in-maze-master
- Reinforcement learning, a Q learning algorithm, implementation on a robot that tryies to solve randomly created maze and reach the goal. Note that you can run .m files both on Matlab and Octave.
Q-Learning-Algorithm-Implementation
- This Q-Learning code for MATLAB has been written by Ioannis Makris and Andrew Chalikiopoulos. It trains an agent to find the shortest way through a 25x25 maze. Following convergence of the algorithm, MATLAB will print out the shortest path to the goa
Machine Learning with TensorFlow
- 机器学习 人工智能 决策树 随机森林 机器学习 人工智能 决策树 随机森林(machine learning tensor flow intelligent artifish)
stanford-deep-learning-matlab-code
- Stanford 大学的深度学习源代码，可用于模式识别和预测，比较稳定。(Stanford University's deep learning source code can be used for pattern recognition and prediction, and is relatively stable.)
q-learning
- 在动态环境中使用Q学习优化算法进行优化，仿真软件为Matlab(Q-learning optimization algorithm is used to optimize in dynamic environment. The simulation software is MATLAB)