MDP_policy

代码说明：

  马可夫决策过程，适合最优策略选择，可以作为一个工具包调用(The Markoff decision process, suitable for the optimal strategy selection, can be called as a toolkit)

文件列表：

MDPtoolbox, 0 , 2018-03-15
MDPtoolbox\AUTHORS, 63 , 2009-11-10
MDPtoolbox\COPYING, 1563 , 2009-11-10
MDPtoolbox\documentation, 0 , 2018-03-09
MDPtoolbox\documentation\arrow.gif, 231 , 2009-11-10
MDPtoolbox\documentation\BIA.png, 6876 , 2009-11-10
MDPtoolbox\documentation\DOCUMENTATION.html, 3110 , 2009-11-10
MDPtoolbox\documentation\index_alphabetic.html, 6469 , 2009-11-10
MDPtoolbox\documentation\index_category.html, 7022 , 2009-11-10
MDPtoolbox\documentation\INRA.png, 134450 , 2009-11-10
MDPtoolbox\documentation\mdp_bellman_operator.html, 3276 , 2009-11-10
MDPtoolbox\documentation\mdp_check.html, 2959 , 2009-11-10
MDPtoolbox\documentation\mdp_check_square_stochastic.html, 2465 , 2009-11-10
MDPtoolbox\documentation\mdp_computePpolicyPRpolicy.html, 3357 , 2009-11-10
MDPtoolbox\documentation\mdp_computePR.html, 2885 , 2009-11-10
MDPtoolbox\documentation\mdp_eval_policy_iterative.html, 7506 , 2009-11-10
MDPtoolbox\documentation\mdp_eval_policy_matrix.html, 2984 , 2009-11-10
MDPtoolbox\documentation\mdp_eval_policy_optimality.html, 3691 , 2009-11-10
MDPtoolbox\documentation\mdp_eval_policy_TD_0.html, 3363 , 2009-11-10
MDPtoolbox\documentation\mdp_example_forest.html, 6834 , 2009-11-10
MDPtoolbox\documentation\mdp_example_rand.html, 3833 , 2009-11-10
MDPtoolbox\documentation\mdp_finite_horizon.html, 4160 , 2009-11-10
MDPtoolbox\documentation\mdp_LP.html, 3245 , 2009-11-10
MDPtoolbox\documentation\mdp_policy_iteration.html, 4940 , 2009-11-10
MDPtoolbox\documentation\mdp_policy_iteration_modified.html, 4966 , 2009-11-10
MDPtoolbox\documentation\mdp_Q_learning.html, 4185 , 2009-11-10
MDPtoolbox\documentation\mdp_relative_value_iteration.html, 7733 , 2009-11-10
MDPtoolbox\documentation\mdp_span.html, 2082 , 2009-11-10
MDPtoolbox\documentation\mdp_value_iteration.html, 6731 , 2009-11-10
MDPtoolbox\documentation\mdp_value_iterationGS.html, 8689 , 2009-11-10
MDPtoolbox\documentation\mdp_value_iteration_bound_iter.html, 3580 , 2009-11-10
MDPtoolbox\documentation\mdp_verbose_silent.html, 2446 , 2009-11-10
MDPtoolbox\documentation\meandiscrepancy.jpg, 16285 , 2009-11-10
MDPtoolbox\mdp_bellman_operator.m, 3523 , 2009-11-10
MDPtoolbox\mdp_check.m, 4038 , 2009-11-10
MDPtoolbox\mdp_check_square_stochastic.m, 2266 , 2009-11-10
MDPtoolbox\mdp_computePpolicyPRpolicy.m, 2932 , 2009-11-10
MDPtoolbox\mdp_computePR.m, 2886 , 2009-11-10
MDPtoolbox\mdp_eval_policy_iterative.m, 5948 , 2009-11-10
MDPtoolbox\mdp_eval_policy_matrix.m, 3549 , 2009-11-10
MDPtoolbox\mdp_eval_policy_optimality.m, 4203 , 2009-11-10
MDPtoolbox\mdp_eval_policy_TD_0.m, 5080 , 2009-11-10
MDPtoolbox\mdp_example_forest.m, 4729 , 2009-11-10
MDPtoolbox\mdp_example_rand.m, 3837 , 2009-11-10
MDPtoolbox\mdp_finite_horizon.m, 4169 , 2009-11-10
MDPtoolbox\mdp_LP.m, 3843 , 2009-11-10
MDPtoolbox\mdp_policy_iteration.m, 5544 , 2009-11-10
MDPtoolbox\mdp_policy_iteration_modified.m, 5669 , 2009-11-10
MDPtoolbox\mdp_Q_learning.m, 5407 , 2009-11-10
MDPtoolbox\mdp_relative_value_iteration.m, 5199 , 2009-11-10
MDPtoolbox\mdp_silent.m, 1736 , 2009-11-10
MDPtoolbox\mdp_span.m, 1707 , 2009-11-10
MDPtoolbox\mdp_value_iteration.m, 6794 , 2009-11-10
MDPtoolbox\mdp_value_iterationGS.m, 7435 , 2009-11-10
MDPtoolbox\mdp_value_iteration_bound_iter.m, 5074 , 2009-11-10
MDPtoolbox\mdp_verbose.m, 1755 , 2009-11-10
MDPtoolbox\README, 2437 , 2009-11-10