Description: The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants.
The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the Mathworks Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France).
The version 2.0 (February 2005) handles sparse matrices and contains an example Platform: |
Size: 2437606 |
Author:劉德華 |
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Description: The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants.
The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the Mathworks Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France).
The version 2.0 (February 2005) handles sparse matrices and contains an example Platform: |
Size: 2437120 |
Author:劉德華 |
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Description: 马尔科夫决策过程值迭代算法value iteration，策略迭代等函数代码，从国外网站下载，非常详细，有用。-Markov decision process value iteration algorithm value iteration, policy iteration and so the function code, from the foreign website, very detailed and useful. Platform: |
Size: 236544 |
Author:小小 |
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Description: Contains excellent and exact implementation of Markov Dec. Processes using Policy Iteration and Value Itreration from the book Perter Norvig for AI.-Contains excellent and exact implementation of Markov Dec. Processes using Policy Iteration and Value Itreration from the book Perter Norvig for AI. Platform: |
Size: 3072 |
Author:ankindian |
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Description: Paper on the optimality of a non-stationary value iteration adaptive policy for a Partially Observed Markov Decision Proce-Paper on the optimality of a non-stationary value iteration adaptive policy for a Partially Observed Markov Decision Process Platform: |
Size: 1529856 |
Author:elsk |
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Search - value iteration markov