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AlphaViT: a flexible game-playing AI for multiple games and variable board sizes

This study presents three game-playing agents incorporating Vision Transformers (ViTs) into the AlphaZero framework: AlphaViT, AlphaViD (AlphaViT with a transformer decoder), and AlphaVDA (AlphaViD with learnable action embeddings). These agents can play multiple board games with varying sizes using...

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Detalles Bibliográficos
Autor Principal: Kazuhisa Fujita
Formato: Artigo
Idioma:Inglês
Publicado: PeerJ Inc. 2025-11-01
Series:PeerJ Computer Science
Assuntos:
Acceso en liña:https://peerj.com/articles/cs-3403.pdf
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