搜索资源列表
Q-MLogicOptimization
- 卡诺图在变量数目很多时，不 容易 化简，Quine-McCluskey(Q-M）方法基本原理 与卡诺图相同当变量数目很多时，或者有许多function要做化简时，都需要使用计算机来做，而Q-M方法为一个系统的逻辑代数化简流程.-Karnaugh map of the large number of variables.
rl-glue.2.0.1
- RL工具箱，学习强化算法，Q学习方法的珍贵资料。国外找的。-Toolbox RL, enhanced learning algorithm, Q learning valuable information. Looking abroad.
q-learning
- 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
QLearning_1
- Q Learning in Artificial Intelligence
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
- 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
- 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.
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Q学习的资料，并且证明了Q学习的收敛性-Information on the Q learning, and prove the convergence of Q learning
q-learning
- q-learning的一个解释性例子.压缩文件有两个m文件构成，运行后可输出结果。-q-learning with matlab
Q-Learning
- State Space Q-Learningfor control of nonlinear system- State Space Q-Learningfor control of nonlinear system
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.
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)
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 o
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 ou
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)
deep-q-learning
- 深度强化學習代碼資料，Q學習的簡單實現。(Deep Q learning, simple codes implements)