Source code and benchmarks for the paper "Learning General Policies from Small Examples Without Supervision"

This repository contains source code and benchmarks used in the publication

Guillem Francès, Blai Bonet, and Hector Geffner
"Learning General Policies from Small Examples Without Supervision."
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI). 2021. 

Instructions on how to use the software are provided in the "readme.md" file.

The latest version of both code and benchmarks is mainteined in the following Github repository: https://github.com/rleap-project/d2l