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Reidemeister moves

topic1 events
papersSEP 10 04:00 UTC

Reinforcement learning pipeline untangles hard knots via Reidemeister moves

Researchers have trained a reinforcement learning agent to reduce complicated knot diagrams to simpler forms by selecting move proposals and a guiding value heuristic. The system generalizes to arbitrary knots and links and performs well on notoriously difficult unknots, with the paper also probing unknotting number as a benchmark.

reinforcement-learning/knot-theory/research/math