GitHub repo offers a free Little Book of Reinforcement Learning with PyTorch algorithm implementations and proofs

The Little Book of Reinforcement Learning is a concise introduction to reinforcement learning, covering basics through applied algorithms. Its GitHub repo includes the book PDF, PyTorch implementations from Monte Carlo methods to PPO, and supplementary proofs for dynamic programming topics.

The project reflects growing demand for compact, hands-on AI learning resources that pair theory with runnable code. By using an open Creative Commons license and public repository, it supports self-directed learning and could become a useful bridge between academic RL concepts and practical experimentation.