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Auguste Lehuger

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Geometry-Aware Reinforcement Learning for 2D Irregular Nesting

This paper introduces the Polygons Transformer (PoT), a novel architecture that encodes 2D continuous vector geometries while allowing cross-polygon attention and couple this novel architecture with a Combinatorial Optimization Reinforcement Learning (CORL) training framework to find optimal solutions.

Auguste Lehuger, Guillaume Henon-Just · 0 citations

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