文件名称:Markov-Decision-Process-matlab
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马氏过程的应用很广， 机器人路径计划， 自动飞行器导航，多目标跟踪， 电梯计划， 网络交换和路由， 银行客户保有等等。-Application of Markov process is broad, robot path plan, automatic vehicle navigation, multi-target tracking, lift plans, network switching and routing, bank customers to maintain and so on.相关搜索： Markov
机器人
vehicle
tracking
目标跟踪
markov
matlab
robot
tracking
multi
tracking
robot
matlab
路由
机器人
vehicle
tracking
目标跟踪
markov
matlab
robot
tracking
multi
tracking
robot
matlab
路由
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Markov Decision Process matlab程序
..................................\Markov Decision Process(MDP)
..................................\............................\approxeq.m
..................................\............................\assert.m
..................................\............................\demo_russell.m
..................................\............................\demo_sutton.m
..................................\............................\mk_grid_world.m
..................................\............................\mk_grid_world_simple.m
..................................\............................\policy_iteration.m
..................................\............................\Q_from_V.m
..................................\............................\subv2ind.m
..................................\............................\test1.m
..................................\............................\value_determination.m
..................................\............................\value_iteration.m
..................................\Markov Decision Process(MDP)
..................................\............................\approxeq.m
..................................\............................\assert.m
..................................\............................\demo_russell.m
..................................\............................\demo_sutton.m
..................................\............................\mk_grid_world.m
..................................\............................\mk_grid_world_simple.m
..................................\............................\policy_iteration.m
..................................\............................\Q_from_V.m
..................................\............................\subv2ind.m
..................................\............................\test1.m
..................................\............................\value_determination.m
..................................\............................\value_iteration.m