EE-618 / 3 credits

Teacher: Cevher Volkan

Language: English

Remark: Next time: Spring 2022


Frequency

Every 2 years

Summary

This course describes theory and methods for decision making under uncertainty under partial feedback.

Content

Keywords

Reinforcement learning, policy search.

Learning Prerequisites

Required courses

Optimization, probability theory, mathematics of data.

Assessment methods

Project report.

In the programs

  • Number of places: 20
  • Exam form: Project report (session free)
  • Subject examined: Theory and Methods for Reinforcement Learning
  • Lecture: 28 Hour(s)
  • Practical work: 14 Hour(s)

Reference week