#193 · Primary category： Education & Research
Practical_RL
A course in reinforcement learning in the wild
Project last updated：03/31/26
GitHub Stars
6.6K
Forks
1.8K
Contributors
96
License
Unlicense
Why we included this project
This course takes reinforcement learning from textbook theory into actual training runs. Each week pairs a lecture with a seminar, and the graded homework expects you to implement the algorithms yourself rather than just read about them. You can work through everything in Google Colab or a local environment, so no special setup is required. The repo also links to deeper sources like Sutton's book and other materials, which makes it a practical self-study companion for students and working engineers.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
JavaGuide
Java Interview & Backend General Interview Guide, covering computer fundamentals, databases, distributed systems, high concurrency, system design, and AI application development.
system-prompts-and-models-of-ai-tools
A curated collection of system prompts, internal tools, and AI models from popular AI assistants and coding agents.
30-seconds-of-code
Coding articles to level up your development skills
generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI