VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car used to enhance learning (Q learning), using neural network Q function approximation. As the use of simulated annealing, the car in the beginning often hit obstacles, and then ,10 times later, it shouldn t happen.

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
........\.....\.....\............\....\info
........\.....\.....\............\....\src
........\.....\.....\............\sfun
........\.....\.....\qlearningcar
........\.....\build
........\sfprj
避障小车

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