自适应控制器的智能机器人控制器我要分享

Intelligent robot controller based on adaptive controller

机器人 强化学习matlab 强化学习-最优 machine-learning 最优控制

关注次数: 267

下载次数: 2

文件大小: 337KB

代码分类: 仿真计算

开发平台: matlab

下载需要积分: 1积分

版权声明:如果侵犯了您的权益请与我们联系,我们将在24小时内删除。

代码描述

中文说明:

基于强化学习与最优自适应控制器的智能机器人控制器。


English Description:

Intelligent robot controller based on reinforcement learning and optimal adaptive controller.


代码预览

agent

.....\actfuns

.....\.......\act.m

.....\.......\asfq_greedyact.m

.....\.......\Contents.m

.....\.......\detpiact.m

.....\.......\fullstate_greedyact.m

.....\.......\fullstate_stochact.m

.....\.......\greedyact.m

.....\.......\pigreedyact.m

.....\.......\staticact.m

.....\.......\stochact.m

.....\.......\teamgreedyact.m

.....\agent.m

.....\agent_cleanup.m

.....\agent_control.m

.....\agent_initlearn.m

.....\Contents.m

.....\explorefuns

.....\...........\Contents.m

.....\...........\explore.m

.....\...........\nilexplore.m

.....\...........\randomexplore.m

.....\learnfuns

.....\.........\asfq.m

.....\.........\asfq_init.m

.....\.........\Contents.m

.....\.........\distrq.m

.....\.........\distrq_init.m

.....\.........\fullstate_plainq.m

.....\.........\fullstate_plainq_init.m

.....\.........\lrn.m

.....\.........\lrn_init.m

.....\.........\minimaxq2.m

.....\.........\minimaxq2_init.m

.....\.........\nillearn.m

.....\.........\nillearn_init.m

.....\.........\plainq.m

.....\.........\plainq_init.m

.....\.........\teamq.m

.....\.........\teamq_init.m

.....\.........\wolfq.m

.....\.........\wolfq_init.m

batch

.....\Contents.m

.....\processexp.m

.....\runexp.m

Changelog.m

cleanuprl.m

Contents.m

episodic_learn.m

episodic_replay.m

learn.m

lib

...\checkparams.m

...\grayscalefromconfig.m

...\lin2ndi.m

...\mdegs.m

...\ndi2lin.m

...\parseconfig.m

...\saveplot.m

...\setfigprop.m

...\structtovars.m

...\varstostruct.m

replay.m

rldemo

......\alg_gui.fig

......\alg_gui.m

......\batchdemo.m

......\Contents.m

......\learndemo.m

......\priv

......\....\alg_gui_onclose.m

......\....\replay_algorithm.m

......\....\run_algorithm.m

......\rrgwdemo.m

startuprl.m

world

.....\Contents.m

.....\gridworld

.....\.........\Contents.m

.....\.........\gridworld.m

.....\.........\gridworldview.m

.....\.........\gridworldview_isvisible.m

.....\.........\gridworld_destroy.m

.....\.........\gridworld_display.m

.....\.........\gridworld_dynamics.m

.....\.........\gridworld_info.m

.....\.........\gridworld_obstacles.m

.....\.........\gridworld_reset.m

.....\robotsgw

.....\........\Contents.m

.....\........\img

.....\........\...\g0t0.jpg

.....\........\...\g0t0.png