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中文说明：
Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。
English Description：
Simulink controls the car in VR environment. The car has five distance sensors, which can slowly learn to avoid walls and obstacles. The car adopts Q-learning and neural network to approximate the q-function. Due to the use of simulated annealing, the car will often hit obstacles at the beginning, and will not hit again after 10 times
避障小车
........\qlearningcar.mdl
........\QlearningCar.wrl
........\qlearningcar_sfun.dll
........\sfprj
........\.....\build
........\.....\.....\qlearningcar
........\.....\.....\............\sfun
........\.....\.....\............\....\info
........\.....\.....\............\....\....\binfo.mat
........\.....\.....\............\....\src
........\.....\.....\............\....\...\c2_qlearningcar.c
........\.....\.....\............\....\...\c2_qlearningcar.h
........\.....\.....\............\....\...\c2_qlearningcar.obj
........\.....\.....\............\....\...\lccstub.obj
........\.....\.....\............\....\...\qlearningcar_sfun.bat
........\.....\.....\............\....\...\qlearningcar_sfun.c
........\.....\.....\............\....\...\qlearningcar_sfun.dll
........\.....\.....\............\....\...\qlearningcar_sfun.exp
........\.....\.....\............\....\...\qlearningcar_sfun.h
........\.....\.....\............\....\...\qlearningcar_sfun.lib
........\.....\.....\............\....\...\qlearningcar_sfun.lmk
........\.....\.....\............\....\...\qlearningcar_sfun.lmko
........\.....\.....\............\....\...\qlearningcar_sfun.obj
........\.....\.....\............\....\...\qlearningcar_sfun_debug_macros.h
........\.....\.....\............\....\...\qlearningcar_sfun_registry.c
........\.....\.....\............\....\...\qlearningcar_sfun_registry.obj