PhD Dynamic Programming

5 Years On Campus Phd Program

Singapore University of Technology and Design

Program Overview

The course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (dynamic programming). We will study optimal control of a dynamical system over both a finite and an infinite number of (discretized) stages. The course will cover fundamental methods to solve dynamic programs, including backward induction, value iteration, and policy iteration. We will also discuss approximation methods for problems involving large state spaces.

Program Key Stats

S$ 30150 (Annual cost)



Eligibility Criteria


Additional Information & Requirements

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