alessiodm/drl-zh
Deep Reinforcement Learning: Zero to Hero!
This course helps software developers and machine learning engineers learn and implement Deep Reinforcement Learning (DRL) algorithms. You'll go from basic concepts to advanced techniques like AlphaZero and RLHF, with hands-on exercises in Jupyter notebooks. The course provides all the code and environments, letting you focus on building intelligent agents for tasks like game playing, robot control, and large language model fine-tuning.
2,265 stars.
Use this if you are a developer or ML engineer looking for a hands-on, comprehensive guide to building, understanding, and applying reinforcement learning models.
Not ideal if you're a non-technical user seeking a high-level overview or an existing expert who doesn't need to implement algorithms from scratch.
Stars
2,265
Forks
110
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 27, 2025
Commits (30d)
0
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