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Computer Science > Artificial Intelligence

arXiv:2309.12675 (cs)
[Submitted on 22 Sep 2023]

Title:Vision Transformers for Computer Go

Authors:Amani Sagri, Tristan Cazenave, Jérôme Arjonilla, Abdallah Saffidine
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Abstract:Motivated by the success of transformers in various fields, such as language understanding and image analysis, this investigation explores their application in the context of the game of Go. In particular, our study focuses on the analysis of the Transformer in Vision. Through a detailed analysis of numerous points such as prediction accuracy, win rates, memory, speed, size, or even learning rate, we have been able to highlight the substantial role that transformers can play in the game of Go. This study was carried out by comparing them to the usual Residual Networks.
Subjects: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2309.12675 [cs.AI]
  (or arXiv:2309.12675v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2309.12675

Submission history

From: Tristan Cazenave [view email]
[v1] Fri, 22 Sep 2023 07:35:37 UTC (552 KB)
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