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Derived metrics for the game of Go -- intrinsic network strength
  assessment and cheat-detection
v1v2v3 (latest)

Derived metrics for the game of Go -- intrinsic network strength assessment and cheat-detection

International Symposium on Computing and Networking - Across Practical Development and Theoretical Research (ISAPDTR), 2020
3 September 2020
A. Egri-Nagy
Antti Törmänen
    GNN
ArXiv (abs)PDFHTMLGithub

Papers citing "Derived metrics for the game of Go -- intrinsic network strength assessment and cheat-detection"

2 / 2 papers shown
Strength Estimation and Human-Like Strength Adjustment in Games
Strength Estimation and Human-Like Strength Adjustment in GamesInternational Conference on Learning Representations (ICLR), 2025
Chun Jung Chen
Chung-Chin Shih
Tai-Lin Wu
OffRL
916
1
0
24 Feb 2025
The cost of passing -- using deep learning AIs to expand our
  understanding of the ancient game of Go
The cost of passing -- using deep learning AIs to expand our understanding of the ancient game of GoInternational Symposium on Computing and Networking - Across Practical Development and Theoretical Research (ISAPDTR), 2022
A. Egri-Nagy
Antti Törmänen
133
1
0
24 Aug 2022
1
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