23 citations · 52 across the 29 of their papers we have counts for
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cs.AI2022
The cost of passing -- using deep learning AIs to expand our understanding of the ancient game of Go
Attila Egri-Nagy, Antti Törmänen
AI engines utilizing deep learning neural networks provide excellent tools for analyzing traditional board games. Here we are interested in gaining new insights into the ancient ga…
cs.AI2020
Derived metrics for the game of Go -- intrinsic network strength assessment and cheat-detection
Attila Egri-Nagy, Antti Törmänen
The widespread availability of superhuman AI engines is changing how we play the ancient game of Go. The open-source software packages developed after the AlphaGo series shifted fo…
cs.AI2009
Computational Understanding and Manipulation of Symmetries
Attila Egri-Nagy, Chrystopher L. Nehaniv
For natural and artificial systems with some symmetry structure, computational understanding and manipulation can be achieved without learning by exploiting the algebraic structure…