Explore sequential decision making and reinforcement learning in this course. From utility theory to multi-armed bandit problems, MDPs, and POMDPs, delve into dynamic programming and online planning. Uncover reinforcement learning paradigms like Monte Carlo methods and temporal difference learning, emphasizing algorithms and practical examples.Read more.
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The techniques and tools covered in Decision Making and Reinforcement Learning are most similar to the requirements found in Data Scientist job advertisements.
