Aarav G. Sane

Temporally Interpretable Differentiable Decision Trees

This work introduces time as a new dimension of interpretability, coined as temporal interpretability, and demonstrates how temporal abstractions via action chunking improve it, by first introducing two novel policy gradient algorithms that incorporate action chunking.