This repository compiles research papers and resources on Reinforcement Learning with Human Feedback (RLHF), a technique used to align large language models with human preferences. The collection is organized by year from 2020 to 2026 and includes codebases, datasets, blogs, and books relevant to the RLHF ecosystem. It serves as a reference for understanding how RLHF enables models like ChatGPT to better match complex human values.