/papers$ls -t

Paper notes

Notes on AI papers I read, written to help me understand them. Some are more complete than others; ones still in progress are marked 🌱. Each note follows roughly the same shape: problem, key idea, how it works, why it matters.

• ppo.html 🌱 Proximal Policy Optimization — reinforcement learning seedling