Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits

Simon Ståhlberg, Blai Bonet, Hector Geffner

It has been recently shown that general policies for many classical planning domains can be expressed and learned in terms of a pool of features defined from the domain predicates…