Skip to main content
Princeton Mobile homeCourses home

Optimal Learning

ORF 418

Info tab content
This course develops several methods that are central to modern optimization and learning problems under uncertainty. These include dynamic programming, linear quadratic regulator, Kalman filter, multi-armed bandits and reinforcement learning. Representative applications and numerical methods are emphasized.
Instructors tab content
Sections tab content

Section L01

  • Type: Lecture
  • Section: L01
  • Status: C
  • Enrollment: 75
  • Capacity: 75
  • Class Number: 20069
  • Schedule: MW 08:30 AM-09:50 AM