Code a Reinforcement Learning Library in C from Scratch (Full Course)

Name: Code a Reinforcement Learning Library in C from Scratch (Full Course)
Uploaded: 2026-08-19T10:00:28.000Z
Channel: freeCodeCamp

Reinforcement learning C programming Autograd Machine learning from scratch Policy gradient Actor Critic Computational graph Snake game Automatic differentiation Neural network implementation Rl algorithms Deep learning basics

freeCodeCamp August 19, 2026

AI summary

A comprehensive course teaching developers to build a complete reinforcement learning library from scratch in C, covering custom autograd engine, computational graph traversal, and the REINFORCE/Actor-Critic algorithms. The project implements a standalone Snake game environment with custom state encoding and uses it to train an agent end-to-end. Ideal for programmers wanting deep understanding of RL fundamentals and low-level implementation details.