EE-568: Reinforcement learning

Summary

This course describes theory and methods for Reinforcement Learning (RL), which revolves around decision making under uncertainty. The course covers classic algorithms in RL as well as recent algorithms under the lens of contemporary optimization.

Official source

https://edu.epfl.ch/coursebook/en/reinforcement-learning-EE-568

Moodle Page

http://go.epfl.ch/EE-568

About this result

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Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

Instructor

Lectures in this course (8)

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