Jendrik Seipp (University of Basel)
Date: Tuesday 20 October 7 PM – 9 PM UTC
Downward Lab simplifies comparing planning algorithms experimentally on a single machine or on a computer cluster. Its primary use case is running experiments for planners built on top of Fast Downward, but it is also used for other classical and probabilistic planners. In this tutorial, I will explain how to set up experiments and make reports, talk about best practices for experimentation with Downward Lab and present solutions to common issues. At the end of the tutorial, we will have a Q&A session. The tutorial assumes basic familiarity with Python.