搜索资源列表
Q-algorithm-of-RL
- 强化学习的Q算法matlab代码。适合寻找最优路径。让您对q算法一定有直观的理解！-A matlab program about Q of Reinforcement Learning Algorithm
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.
ReinforcementLearning
- 强化学习算法的MATLAB仿真实例，希望能够对大家有帮助.-Q-learning algorithm of MATLAB simulation examples，wish it can help you.
ReinforcementLearning
- q学习算法的一个例程，上传与大家分享一下-q learning algorithm, a routine, upload to share with you some
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。 小车的外观模型使用了"w198406141"在本论坛的虚拟现实区发布的VR模型。-VR environment Simulink control car. There are 5 car distance sensor, can gradually le
Qlearningliti
- 讲基于q学习的应用的相关文献，不错的学习例子-Q learning about the application based on the literature, examples of good learning
Q123
- 一个很好的Q学习源码，对于学习强化学习有很大的作用。-Q-learning a good source for learning reinforcement learning has a significant role.
Q-learning
- 增强式算法中的Q-学习算法，MATLAB实现，用于迷宫的最佳路径搜索-Enhanced Q-learning algorithm-algorithm, MATLAB implementation for the maze path search
Q-Learning
- 最基础的Q学习代码，可以帮助初学者理解和使用Q学习算法-The most basic Q-learning code that can help beginners to understand and use the Q-learning algorithm
Q-learning
- 简单实用的matlab源码，描述了Q学习的过程，实现了探索和最优化.适用于初学者-Simple and practical matlab source, describing the Q learning process, to achieve the exploration and optimization suitable for beginners
random_walk
- A Painless Q-learning Tutorial (一个 Q-learning 算法的简明教程) ，学习此篇博客内容后写的一个简单例子(An easy program after learning the blog)
Qlearning
- Q-learning例程，简单例子易于上手学习原理和代码。(Q-learning Program example)
Q_learning
- Q learning for reinforcement learning
Qlearning car
- matlab仿真q learning，实现Q learning算法。(matlab simulate q learning)
Q学习
- 增强学习(Q-learning)要解决的是这样的问题:一个能感知环境的自治agent，怎样通过学习选择能达到其目标的最优动作(Reinforcement learning (Q-learning) has to solve this problem: an autonomous agent that can perceive the environment, and how to achieve the optimal action of its target through learning
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
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)