In zero-shot learning (ZSL) there is zero amount of data for training. A ZSL method analyzes parts of the test data in order to provide a predictor to be used on the same data (e.g. zero shot super resolution). This project goal is to establish a ZSL method for solving large multi-agent planning problems.