Oriented and Non-Oriented Cubical Surfaces in the Penteract

Year: 2024 Authors: Manuel Estévez; Érika Roldán; Henry Segerman

Core claim

Reinforcement learning can improve 3D projections of cubical surfaces in the penteract by reducing face intersections and edge overlaps.

Topics

cubical surfaces, penteract, 3D visualization, reinforcement learning

Domains

topology, combinatorics, graph embeddings, higher-dimensional cubes, 3D printing, mathematical visualization, geometric design

Methods

perspective projection, reinforcement learning, embedding optimization, computational search

Media

3D prints, 3D models, supplementary files, projected cylindrical edges

Source status

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