Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications [article]

Craig Innes, Yordan Hristov, Georgios Kamaras, Subramanian Ramamoorthy
2021 arXiv   pre-print
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.
arXiv:2107.00093v1 fatcat:hyqvuuodvvhubj4kscrf4rlwq4