This repository contains code samples for the book Neural Networks and Deep Learning.
Spinning Up
Spinning Up provides documentation and learning resources for deep reinforcement learning.
About Spinning Up
Spinning Up in Deep RL is documentation for deep reinforcement learning. It introduces key RL concepts and policy optimization, documents algorithms such as Vanilla Policy Gradient, Trust Region Policy Optimization, Proximal Policy Optimization, Deep Deterministic Policy Gradient, Twin Delayed DDPG and Soft Actor-Critic, and explains installation, running experiments, loading trained policies, plotting results, and logger, plotter and MPI utilities. Algorithm code is documented for PyTorch and Tensorflow versions.
Pricing is not clearly stated.
Spinning Up at a glance
- Category
- Education & Learning › AI Learning & Guides
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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