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Online Course: Introduction to Q learning in Python

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Dave Touretzky edited this page Mar 18, 2021 · 4 revisions
  • Name: Introduction to Q-learning in Python
  • Subject: Machine learning
  • Type: free online course
  • Audience: high school with basic coding knowledge (variables, conditionals, loops, and functions)
  • Authors: Michael Megliola and Jeff Gunn
  • Publisher: LoisLab
  • Year: 2021
  • URL: loislab.org

Summary: free online course introduces concepts of probability and expected reward, then moves on to the Q-learning algorithm and applies it to maze solving and playing tic-tac-toe. The course is organized as a Jupyter notebook that runs in the browser. It offers clear explanations and a logical development of topics, and is not Python-heavy; it is accessible to any student familiar with basic coding constructs (variables, conditionals, loops, and functions). No math beyond Alegbra 2.

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