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