This project implements a Tic-tac-toe game enhanced with multiple AI strategies.
- Features advanced AI algorithms including Monte Carlo Tree Search (MCTS) and Minimax for strategic gameplay.
- Utilizes bitboards for efficient game state representation.
- Interactive gameplay allowing users to compete against AI.
To build the project:
- Clone the repository.
- Navigate to the project directory.
- Run
to compile the project.
cargo build --release
For a detailed list of command-line options, use the --help
or -h
flag with the executable. This will provide you with all available options for customizing your gameplay, such as setting players for 'x' and 'o', and choosing the number of games.