AI RESEARCH
Learning First Integrals via Backward-Generated Data and Guided Reinforcement Learning
arXiv CS.LG
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ArXi:2605.21160v1 Announce Type: new The discovery of first integrals is of fundamental scientific importance for understanding conservation laws in dynamical systems. However, existing symbolic computation tools and Large Language Models (LLMs) remain limited on this task because high-quality