资源列表
AC-Controller-master
- HIEU AC Controller master
2007032001
- Evolotion Py master control Hieu
qlearning4k-master
- qlearning4k是强化学习Python深度学习lib库Keras插件。它简单，是快速成型的理想选择。(Qlearning4k is a reinforcement learning add-on for the python deep learning library Keras. Its simple, and is ideal for rapid prototyping.)
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, Ioannis Antonoglou, Daan Wierst
Model
- 关于最小值优化的几个函数，用到了模拟退火法等(On several functions of minimum value optimization)
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)
Beampatterns
- 画部门麦克风圆阵的窄带的宽带方向图，非常实用的参考程序(MATLAB scr ipts for plotting beampatterns for narrowband and wideband signals using linear and circular microphone)
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
光伏仿真模型和MPPT和BOOST
- 光伏仿真模型和boost-buck模型，适合做微网或者交直流微网的学者研究(Photovoltaic simulation models and boost-buck models are suitable for microgrid or AC-DC microgrid researchers.)
TianChi_ijcai
- 根据过去一段时间的销售量，消费记录，预测商店的未来销售量(According to the sales volume and consumption record in the past period,Forecast the future sales volume of the store)
sd_calsnr
- sigma delta ADC的模型，以及计算sigma delta调制器的SNR(The model of sigma delta ADC,and how to calculating the SNR of the sigma delta ADC)