This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

CSCA 5414: Dynamic Programming, Greedy Algorithms CSCA 5414: Dynamic Programming, Greedy Algorithms Get a head start on program admission Preview this course in the non-credit experience today! Start ...

The policy iteration method of dynamic programming is studied in an abstract setting. It is shown to be equivalent to the Newton-Kantorovich iteration procedure applied to the functional equation of ...

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In the linear programming approach to approximate dynamic programming, one tries to solve a certain linear program-the ALP-that has a relatively small number K of variables but an intractable number M ...