General-Game-Playing-Using-Monte-Carlo-Tree-Search

Implementation of Monte Carlo Tree Search along with two zero-sum games as it’s use case. Games Implemented

1. Connect4
2. Othello/Reversi

Monte Carlo Tree Search is a heuristic search algorithm with links to Reinforcement Learning. It consists of four stages

1. Selection
2. Expansion
3. Simulation
4. Backpropagation