zyxue/sutton-barto-rl-exercises
đŸ“–Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
This repository provides working code examples and notes for understanding and applying reinforcement learning concepts from the textbook 'Reinforcement Learning: An Introduction'. It helps you implement algorithms discussed in the book, turning theoretical descriptions into practical code. This is for students, researchers, or practitioners in AI, robotics, or data science who are learning or applying reinforcement learning.
Use this if you are studying reinforcement learning and want to see or work through practical implementations of algorithms from the Sutton & Barto textbook.
Not ideal if you are looking for a general-purpose machine learning library or a pre-built solution for a specific real-world problem without needing to understand the underlying RL algorithms.
Stars
84
Forks
28
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/zyxue/sutton-barto-rl-exercises"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning...
Denys88/rl_games
RL implementations
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild