文件名称:Qlearningcar

介绍说明--下载内容均来自于网络,请自行研究使用

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。

-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.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

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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