mdp（马尔可夫决策过程）2009年matlab源码，非常详细全面，非常实用

【实例简介】
2009年写的matlab mdp源码，里面有全部的英文document介绍说明
【实例截图】
【核心代码】
MATLAB2009MDPtoolbox
├── license.txt
└── MDPtoolbox
├── AUTHORS
├── COPYING
├── documentation
│   ├── arrow.gif
│   ├── BIA.png
│   ├── DOCUMENTATION.html
│   ├── index_alphabetic.html
│   ├── index_category.html
│   ├── INRA.png
│   ├── mdp_bellman_operator.html
│   ├── mdp_check.html
│   ├── mdp_check_square_stochastic.html
│   ├── mdp_computePpolicyPRpolicy.html
│   ├── mdp_computePR.html
│   ├── mdp_eval_policy_iterative.html
│   ├── mdp_eval_policy_matrix.html
│   ├── mdp_eval_policy_optimality.html
│   ├── mdp_eval_policy_TD_0.html
│   ├── mdp_example_forest.html
│   ├── mdp_example_rand.html
│   ├── mdp_finite_horizon.html
│   ├── mdp_LP.html
│   ├── mdp_policy_iteration.html
│   ├── mdp_policy_iteration_modified.html
│   ├── mdp_Q_learning.html
│   ├── mdp_relative_value_iteration.html
│   ├── mdp_span.html
│   ├── mdp_value_iteration_bound_iter.html
│   ├── mdp_value_iterationGS.html
│   ├── mdp_value_iteration.html
│   ├── mdp_verbose_silent.html
│   └── meandiscrepancy.jpg
├── mdp_bellman_operator.m
├── mdp_check.m
├── mdp_check_square_stochastic.m
├── mdp_computePpolicyPRpolicy.m
├── mdp_computePR.m
├── mdp_eval_policy_iterative.m
├── mdp_eval_policy_matrix.m
├── mdp_eval_policy_optimality.m
├── mdp_eval_policy_TD_0.m
├── mdp_example_forest.m
├── mdp_example_rand.m
├── mdp_finite_horizon.m
├── mdp_LP.m
├── mdp_policy_iteration.m
├── mdp_policy_iteration_modified.m
├── mdp_Q_learning.m
├── mdp_relative_value_iteration.m
├── mdp_silent.m
├── mdp_span.m
├── mdp_value_iteration_bound_iter.m
├── mdp_value_iterationGS.m
├── mdp_value_iteration.m
├── mdp_verbose.m
└── README

2 directories, 56 files