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"Dynamic Programming and Stochastic Control, Fall 2008"

(Complete Item Description)

Abstract:: " This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and an infinite number of stages (finite and infinite horizon). We will also discuss some approximation methods for problems involving large state spaces. Applications of dynamic programming in a variety of fields will be covered in recitations."

Subject:: Science and Technology
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

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Top Keywords

Approximate Dynamic Programming Approximation Methods Decision Making Deterministic Systems Dynamic Programming and Optimal Control Dynamical System Finite Horizon Infinite Horizon Large State Space Optimal Control Rollout Sequential Decision Making Shortest Path State Information State-Space Stochastic Control Stochastic Shortest Path Uncertainty

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Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.

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