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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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2025-11-01
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| coleção: | PeerJ Computer Science |
| Assuntos: | |
| Acesso em linha: | https://peerj.com/articles/cs-3403.pdf |
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