University of Arizona 3 credits Aerospace & Mechanical Engr
Introductory course on reinforcement learning, covering model-based and model-free methods, Markov decision processes, dynamic programming, temporal-difference learning, on- and off-policy approaches, and policy gradient methods. The course is project-based, requiring students to implement algorithms using available software and will include a survey of applications across multiple domains.
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