The course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). This course will consider optimal control of a dynamical system over both a finite and an infinite number of stages and approximation methods for problems involving large state spaces. This includes systems with finite or infinite state spaces, and perfectly or imperfectly observed systems.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: MIT
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