Anish Deshpande

MonopolyMind MCTS

Started Aug. 12, 2024

Abstract or project description

MonopolyMind MCTS is an innovative AI project focused on mastering the classic board game Monopoly using Monte Carlo Tree Search (MCTS) techniques. The project aims to develop an intelligent agent capable of making optimal decisions and strategies within the game, leveraging the power of MCTS to simulate numerous potential game scenarios and outcomes. By integrating MCTS, the project seeks to explore and evaluate various strategies in a dynamic and probabilistic manner, allowing the AI to adapt and refine its gameplay tactics. The goal is to enhance the AI's performance in Monopoly by training it to anticipate opponents' moves, manage resources effectively, and maximize long-term gains. Ultimately, MonopolyMind MCTS will contribute to advancements in AI strategy and decision-making, providing valuable insights into both game theory and practical AI applications.