Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation

We study how implicit differentiation helps scale up and improve convergence of differentiable planning algorithms.

Integrating Symmetry into Differentiable Planning with Steerable Convolutions

We formulate how differentiable planning algorithms can exploit inherent symmetry in path planning problems, named SymPlan, and propose practical algorithms.