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AI & MACHINE LEARNING
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which we then implement. Reinforcement Learning & Approximate Dynamic Programming In theory, multistage decision problems can be solved by dynamic programming (DP), a method for determining optimal control [...] y intractable. We address and overcome this hurdle using reinforcement learning and approximate dynamic programming . Both produce suboptimal policies/control inputs with, however, sufficiently adequate [...] Selecting and training the right model for the right task allows us to solve problems such as static or dynamic regression, predictive maintenance, and outlier or anomaly detection. Model Selection & Assessment
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