2023
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search
ICLR 2023top-5%
Nonlinear dynamics is ubiquitous in nature and commonly seen in various science and engineering disciplines. Distilling analytical expressions that govern nonlinear dynamics from limited data remains vital but challenging. To tackle this fundamental issue, we propose a novel Symbolic Physics Learner…