搜索资源列表
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
Q.rar
- 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-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.
Q-learning
- 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.
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.
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
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
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
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
Q_learning
- q学习,强化学习中的人工智能方法，实用型强化学习(Q learning, reinforcement of artificial intelligence methods, practical reinforcement 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
DeepMind-Atari-Deep-Q-Learner-master
- 基于python环境的简明深度强化学习深度Q学习实现代码(Concise deep intensive learning based on Python environment and deep Q learning implementation code)
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 走迷宫
- 在环境中寻找最优路径，自定义出发点和终点，实现智能体与环境交互(Find the optimal path in the environment, customize the starting point and end point, and realize the interaction between the intelligent body and the environment)
Q-learning
- 强化学习的核心算法，Q-table，应用动作值函数对动作的Q值进行更新来找到最优策略。(The core algorithm of reinforcement learning, Q-table, uses action value function to update the Q value of actions to find the optimal strategy.)
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.)
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)
Q学习实现资源分配
- 目前适用广泛的强化学习就是Q学习，此压缩包包含Q学习实现例程，用于解决资源分配问题。