This repository is a curated collection of research papers on Multi-Agent Reinforcement Learning (MARL), organized by categories such as framework, cooperation, communication, and applications. It serves as a reference for researchers and practitioners in the field. The repository contains no code, data, or executable components; it is purely a markdown file with links to papers. The list is actively maintained and includes recent papers up to 2025. It is not a software application or data pipeline, but a static paper list.