This repository provides the model weights for AlphaViT, AlphaViD, AlphaVDA, and Alphazero.
Each filename includes digits indicating the training iteration. For example, checkpoint_1000.model represents the model saved after 1000 training iterations.
Initial training datasets for various games, organized by game type. Files include:
The full source code for AlphaViT, including training scripts and detailed implementation, is available on GitHub:
https://github.com/KazuhisaFujita/AlphaViTFor detailed information on the methodology and experiments, refer to the research paper:
"Flexible Game-Playing AI with AlphaViT: Adapting to Multiple Games and Board Sizes".
