This paper presents an extension to the probabilistic programming language ProbRobScene, allowing users to automatically synthesize uniform experiment designs directly from environment specifications. We demonstrate its effectiveness on a number of environment specification snippets from tabletop manipulation, and show that our method generates reliably low-discrepancy designs.
Cite
@article{arxiv.2107.00093,
title = {Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications},
author = {Craig Innes and Yordan Hristov and Georgios Kamaras and Subramanian Ramamoorthy},
journal= {arXiv preprint arXiv:2107.00093},
year = {2021}
}