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

This tutorial guides you through building a custom reinforcement learning library in C, implementing an autograd engine, and coding a snake game environment to train an AI agent using the policy gradient reinforce algorithm.

MAIN POINTS FROM TRANSCRIPT
  1. Construct a custom reinforcement learning library in C from scratch.
  2. Implement the policy gradient reinforce algorithm without external frameworks.
  3. Develop an autograd engine for automatic differentiation.
  4. Code a complete snake game environment for AI agent training.
TAKEAWAYS
  1. Gain a deep understanding of reinforcement learning by building components from scratch.
  2. Learn to implement a neural network's forward and backward passes using an autograd engine.
  3. Experience hands-on coding of a game environment to test AI learning.
  4. Acquire skills in C programming for machine learning applications.
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