Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations

This method, by performing control of equations through a pre-trained model without being goal-dependent, demonstrates that planning based on physical observations is more effective than distance minimization in a learned latent space and provides performance improvements in complex flow problems such as Navier-Stokes.