12K ·GitHub
What is this?
Spinning Up is an educational resource from OpenAI for learning deep reinforcement learning: written lessons paired with a Python repo of reference algorithm implementations.
Spinning Up is an educational resource from OpenAI for learning deep reinforcement learning: written lessons paired with a Python repo of reference algorithm implementations.Is it a course I read, or code I can run?Both. The learning side covers RL terminology, algorithm families, and basic theory; the code side is a well-documented Python repo of short, standalone implementations of key algorithms.
Both. The learning side covers RL terminology, algorithm families, and basic theory; the code side is a well-documented Python repo of short, standalone implementations of key algorithms.Is the project still actively developed?It is in maintenance mode: expect bug fixes and minor updates rather than new features, so treat it as a stable learning resource.
It is in maintenance mode: expect bug fixes and minor updates rather than new features, so treat it as a stable learning resource.Do I need prior reinforcement learning experience?No — it is written for the unfamiliar: it explains what RL is, then covers terminology, kinds of algorithms, and basic theory before you dig into the code.
No — it is written for the unfamiliar: it explains what RL is, then covers terminology, kinds of algorithms, and basic theory before you dig into the code.What exactly do the study materials include?A short intro to RL terminology, algorithm kinds, and basic theory; an essay on growing into an RL research role; a curated list of important papers organized by topic; and a few warm-up exercises — alongside the algorithm implementations.
A short intro to RL terminology, algorithm kinds, and basic theory; an essay on growing into an RL research role; a curated list of important papers organized by topic; and a few warm-up exercises — alongside the algorithm implementations.Why did OpenAI build this?To make deep reinforcement learning easier for anyone to learn, including people aiming at a research career — the materials even cover how to grow into an RL research role.
To make deep reinforcement learning easier for anyone to learn, including people aiming at a research career — the materials even cover how to grow into an RL research role.Can I cite Spinning Up in my own research?Yes. The README explicitly asks that you cite Spinning Up if you reference or use it in research.
Yes. The README explicitly asks that you cite Spinning Up if you reference or use it in research.What are similar projects?DeepLearning, awesome-deep-learning-papers, train-llm-from-scratch, ai-edu, sutskever-30-implementations, cs-self-learning, MLAlgorithms, awesome-deep-vision
DeepLearning, awesome-deep-learning-papers, train-llm-from-scratch, ai-edu, sutskever-30-implementations, cs-self-learning, MLAlgorithms, awesome-deep-visionWhich topics is it in?papers, algorithms, reinforcement-learning, neural-network, academic-research, beginner-friendly, guide, learning, openai, tutorial, curated-list, resources
papers, algorithms, reinforcement-learning, neural-network, academic-research, beginner-friendly, guide, learning, openai, tutorial, curated-list, resources