AlphaZero_Gomoku
The AlphaZero_Gomoku project utilizes the AlphaZero algorithm to train AI for Gomoku, leveraging self-play for efficient model development. Simplicity relative to Go or chess allows for rapid AI training on a single PC. The implementation supports both TensorFlow and PyTorch, offering training flexibility. Basic setup requires Python and Numpy, with further configuration necessary for scratch training using specific frameworks. Trained model examples illustrate AI performance across various setups, and scripts can be modified for experimentation and evaluation.
