https://github.com/gerdm/reinforcement-learning

Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto
https://github.com/gerdm/reinforcement-learning

barto-sutton jax machine-learning python reinforcement-learning

Last synced: about 1 year ago
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Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto

• Host: GitHub
• URL: https://github.com/gerdm/reinforcement-learning
• Owner: gerdm
• Created: 2021-09-14T07:31:12.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2025-04-12T05:51:41.000Z (about 1 year ago)
• Last Synced: 2025-04-12T06:30:31.478Z (about 1 year ago)
• Topics: barto-sutton, jax, machine-learning, python, reinforcement-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 26.6 MB
• Stars: 30
• Watchers: 3
• Forks: 3
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

          
# Reinforcement learning

Basic implementation of methods in Sutton and Barto's Reinforcement Learning book.

We consider numba for gridworld experiments and Jax where gradients are required.