Skip to content

Notes of Reinforcement Learning MOOC by University of Alberta

Notifications You must be signed in to change notification settings

MikeS96/rl_notes

Repository files navigation

Reinforcement Learning notes of MOOC by University of Alberta in Coursera

Notes taken during the lectures given by the MOOC of Reinforcement Learning by University of Alberta in Coursera.

The notes were taken from the next four courses.

The information and images were taken from the courses and most of the text is part of the lecture.

Topics

These notes have information about the next topics:

  • Markov decision process (MDP)
  • Temporal Difference Learning (TD)
  • Monte Carlo methods
  • Sarsa
  • Expected Sarsa
  • Q-learning
  • Policy gradients
  • Dyna
  • Dyna-Q
  • Model-based methods
  • Softmax policies
  • Among others

About

Notes of Reinforcement Learning MOOC by University of Alberta

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published