vdouet/Reinforcement-Learning

Repository for courses and algorithms related to Reinforcement learning.

Reinforcement Learning repository

This repository contains all the notes from the various courses I took on Reinforcement Learning. It also contains RL algorithms implementations in Python and other project code.

Books

• Reinforcement Learning: An Introduction Second Edition by Richard S. Sutton and Andrew G. Barto - PDF (done)

  • http://incompleteideas.net/book/the-book-2nd.html

• Deep Reinforcement Learning Hands-On - Second Edition by Maxim Lapan (on-going)

  • https://www.packtpub.com/data/deep-reinforcement-learning-hands-on-second-edition

Courses

• Reinforcement Learning Specialization - Alberta University Coursera (done)
  • https://www.ualberta.ca/admissions-programs/online-courses/reinforcement-learning/index.html
• Reinforcement Learning in Motion - Manning (done)
  • https://www.manning.com/livevideo/reinforcement-learning-in-motion
• Advanced AI: Deep Reinforcement Learning in Python - Udemy (done)
  • https://www.udemy.com/course/deep-reinforcement-learning-in-python/
• Modern Reinforcement Learning: Deep Q Learning in PyTorch - Udemy (todo)
  • https://www.udemy.com/course/deep-q-learning-from-paper-to-code/
• Deep Reinforcement Learning 2.0 - Udemy (todo)
  • https://www.udemy.com/course/deep-reinforcement-learning/
• Cutting-Edge AI: Deep Reinforcement Learning in Python - Udemy (todo)
  • https://www.udemy.com/course/cutting-edge-artificial-intelligence/