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Optimal Learning

ORF 418

1232
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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.
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Section L01

  • Type: Lecture
  • Section: L01
  • Status: C
  • Enrollment: 75
  • Capacity: 75
  • Class Number: 20933
  • Schedule: MW 08:30 AM-09:50 AM