搜索资源列表
learnning
- 强化学习在自主导航中的应用，详细介绍了强化学习算法-Reinforcement Learning in Autonomous Navigation System, detailing the reinforcement learning algorithm
xc
- 基于强化学习的机器人寻路，以方格地图为环境-reinforcement learning apply in the robatics
Usithod
- 利用聚类分析法改进的多Agent协作强化学习方法-Using cluster analysis to improve collaborative multi-Agent Reinforcement Learning Method
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
59836202Reinforcement-learning
- 强化学习源码，挺不错的，分享一下强化学习源码，挺不错的，-Reinforcement learning source, very good, reinforcement learning to share source code, very good,
092059256reinforcement_by_sutton
- 强化学习源码，挺不错 的，分享一下 -Source of reinforcement learning, reinforcement learning very good source, very good, share, and share
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.
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
Qlearning
- 强化学习 matlab 强化学习 强化学习 强化学习(reforcement learning)
FlappyLearning-gh-pages
- 搭建强化学习网络学习flappybird，代码为js文件。神经网络可改写重用。(Build reinforcement learning network learning flappybird, code for js file. Neural network can be rewritten and reused.)
qlearning_example
- 强化学习算法Q-learning的编程实例(Reinforcement learning algorithm Q-learning programming examples)
Dynamic Programming and Reinforcement Learning
- 动态规划强化学习的课程作业，有详细的问题描述，问题分析，以及具体源代码(The One-Site Tree Cutting Problem By Dynamic Programming and Reinforcement Learning)
Q学习算法例子
- 实现强化学习中Q值函数的实现。里面包含了一个实现例子(Q value matrix in reinforcement Learning)
ReinforcementLearning
- 用强化学习方法解决简单的走迷宫问题，得到智能体的最优路径(Using reinforcement learning to solve simple maze problem)
boltz12
- 使用强化学习方法实现移动激光测距机器人避障(Realization of obstacle avoidance by mobile laser rangefinder using Reinforcement learning method)
Reinforcement-learning-with-tensorflow-master
- 各种强化学习代码，强化学习(reinforcement learning)，又称再励学习、评价学习，是一种重要的机器学习方法，在智能控制机器人及分析预测等领域有许多应用。(Reinforcement learning (reinforcement learning), also known as reinforcement learning and evaluation learning, is an important machine learning method. It has many
reinforcement-learning-an-introduction-master
- sutton强化学习书籍python源码(The codes of the book named Reinforcement Learning:An Introduction written by sutton.)
TicTacToc
- 基于强化学习的三子棋程序，通过学习，人机对战时电脑可立于不败之地。(Learning by reinforcement learning based on man-machine chess program, computer can be in an invincible position in wartime.)
adaptive-critic-designs-master
- 常用的强化学习中的自适应actor-critic算法python实现教程代码(Commonly used adaptive reinforcement learning actor-critic algorithm Python implementation tutorial code)
Q_learning
- 强化学习代码，求解贝尔曼方程，用qlearning求解(Reinforcement learning code, behrman equation, using qlearning solution)