#machine learning
Feb 2026
Learning Fast Monomial Orders for Gröbner Basis Computations
The resulting learned policies consistently outperform standard heuristics and resist distillation into simple interpretable models, providing empirical evidence that deep reinforcement learning allows the agents to exploit non-linear geometric structure beyond the scope of traditional heuristics.
R. Bunch, A. Ergür, Melika Golestani et al.
· arXiv.org · 0 citations