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Found 5 papers, 3 papers with code
The cost of passing -- using deep learning AIs to expand our understanding of the ancient game of Go
AI engines utilizing deep learning neural networks provide excellent tools for analyzing traditional board games.
Derived metrics for the game of Go -- intrinsic network strength assessment and cheat-detection
This gives an intrinsic strength measurement for the neural network.
Finite Diagram Semigroups: Extending the Computational Horizon
Diagram semigroups are interesting algebraic and combinatorial objects, several types of them originating from questions in computer science and in physics.
Group Theory 20M20
Enumerating Transformation Semigroups
As a particular application we use our algorithms to enumerate all transformation semigroups up to degree 4.
Group Theory 20M20
Computational Understanding and Manipulation of Symmetries
For natural and artificial systems with some symmetry structure, computational understanding and manipulation can be achieved without learning by exploiting the algebraic structure.
