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Understand the various algorithms for solving a dynamic program Topics Introduction to dynamic programming Value and policy iterations Stochastic gradient algorithm Q-learning and temporal differences ...
It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .
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