English(EN) RL unknotter, hard unknots and unknotting number

强化学习代理简化链图并改进解链数界限

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-30 04:00

研究人员开发了一个强化学习流程，通过学习移动建议和用于导航Reidemeister移动的值启发式方法来简化链图。该系统已应用于复杂的解链图，包括$4_1\#9_{10}$链，并成功恢复了已确定的解链数上限三。此外，还引入了该流程的自改进扩展，以系统地提高素链的解链数上限。 AI

影响强化学习在数学拓扑问题中的新颖应用，可能激发AI在科学发现领域的新研究方向。

排序理由这是一篇详细介绍强化学习在数学问题中的新颖应用的学术论文。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv stat.ML TIER_1 English(EN) · Anne Dranowski, Yura Kabkov, Daniel Tubbenhauer · 2026-04-30 04:00

RL解链器、硬解链与解链数

arXiv:2603.07955v3 Announce Type: replace-cross Abstract: We develop a reinforcement learning pipeline for simplifying knot diagrams. A trained agent learns move proposals and a value heuristic for navigating Reidemeister moves. The pipeline applies to arbitrary knots and links; …