This repository aggregates Monte Carlo Tree Search research papers with implementations from major ML and AI venues. It covers algorithms used in reinforcement learning agents and game-playing systems like AlphaGo, including topics such as policy gradient methods, Q-learning, and deep Q-networks. The collection spans NeurIPS, ICML, AAAI, IJCAI, and other conferences focused on ML and AI research.