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  "Title": "Markov Decision Processes Toolbox",
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  "Author": "Iadine Chades, Guillaume Chapron, Marie-Josee Cros, Frederick\nGarcia, Regis Sabbadin",
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    "mdp_relative_value_iteration",
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    "mdp_value_iteration",
    "mdp_value_iteration_bound_iter",
    "mdp_value_iterationGS"
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      "page": "MDPtoolbox-package",
      "title": "Markov Decision Processes Toolbox",
      "topics": [
        "MDPtoolbox-package",
        "MDPtoolbox"
      ]
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      ]
    },
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      "page": "mdp_check_square_stochastic",
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      "topics": [
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      ]
    },
    {
      "page": "mdp_computePpolicyPRpolicy",
      "title": "Computes the transition matrix and the reward matrix for a fixed policy",
      "topics": [
        "mdp_computePpolicyPRpolicy"
      ]
    },
    {
      "page": "mdp_computePR",
      "title": "Computes a reward matrix for any form of transition and reward functions",
      "topics": [
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      ]
    },
    {
      "page": "mdp_eval_policy_iterative",
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      "topics": [
        "mdp_eval_policy_iterative"
      ]
    },
    {
      "page": "mdp_eval_policy_matrix",
      "title": "Evaluates a policy using matrix inversion and product",
      "topics": [
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      ]
    },
    {
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      "topics": [
        "mdp_eval_policy_optimality"
      ]
    },
    {
      "page": "mdp_eval_policy_TD_0",
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      "topics": [
        "mdp_eval_policy_TD_0"
      ]
    },
    {
      "page": "mdp_example_forest",
      "title": "Generates a MDP for a simple forest management problem",
      "topics": [
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      ]
    },
    {
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      "topics": [
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      ]
    },
    {
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      "title": "Solves finite-horizon MDP using backwards induction algorithm",
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    },
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    },
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      ]
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    },
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    },
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      ]
    },
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      ]
    },
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    },
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      ]
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