搜索资源列表
Q
- 一个有关汉诺塔的java编程，简单-HANOR one of the java programming, simple
QPSK_TX_IQ_RX_REV1
- QPSK Transmitter and I/Q Correlator Receiver is based on the technique of queing the information in a bit stream and on the receving end using FFT and some additive filters, as the addition of noise is made to infuse the
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
Q学习
- Q学习MATLAB算例，可运行，有一定参考价值(Q learning MATLAB example, can run, has a certain reference value)
Qlearning car
- matlab仿真q learning，实现Q learning算法。(matlab simulate q learning)
ql_sarsa.py
- Reinforcement Learning, Q-learning algorithm, originally coded
InvPend
- Q learning for inverse pendulum
neural_network_qvalue
- critic q learning with matlab m file
Q_learning
- Q学习的经典实例，入门经典教程程序，实例对应的是从任一房间出发，走出去的最优路径(classic examples of Q-learning, getting started classic tutorial program)
deep_q_rl-master
- This package provides a Lasagne/Theano-based implementation of the deep Q-learning algorithm described in: Playing Atari with Deep Reinforcement Learning Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, I
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)
code
- Q-learning 算法实现AGV的最优路径规划，实测效果非常好，对于研究深度学习和强化学习的同学很有帮助！(The Q-learning algorithm realizes the optimal path planning of AGV, and the measured results are very good. It is very helpful for students who are studying deep le
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.)
IET_QLRSA
- 用Q-Learning实现中继选择，选择最佳中继进行通信传输(Realization of Relay Selection with Q-Learning)
Q-Learning-using-Neural-Network-master
- 基于神经网络的学习算法的小程序,,希望对理解神经网络对Q学习算法的结合有所帮助(A small program of learning algorithm based on Neural Network)
q_learn
- 基于matlab实现强化学习算法中的Q-learning算法，进行训练(The Q-learning algorithm of reinforcement learning algorithm is realized based on MATLAB)
qlearning111
- q-learning 实现 栅格迷宫路径规划，附带随机迷宫生成代码(Q-learning to achieve grid maze path planning, with random maze generation code)