Heuristic Functions
Testing is a promising way to gain trust in neural action policies π. Previous work on policy testing in sequential decision making …
@inproceedings{steinmetzDebuggingAPolicyAutomatic2022,
author = {Marcel Steinmetz and Daniel Fišer and Hasan Ferit Eniser and Patrick Ferber and Timo P. Gros and Philippe Heim and Daniel Höller and Xandra Schuler and Valentin Wüstholz and Maria Christakis and Jörg Hoffmann},
booktitle = {Proceedings of the 32nd International Conference on Automated Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2022), July 13-24},
doi = {10.1609/icaps.v32i1.19820},
editor = {Akshat Kumar and Sylvie Thiébaux and Pradeep Varakantham and William Yeoh},
isbn = {978-1-57735-874-9},
month = {6},
pages = {353-361},
publisher = {AAAI Press},
series = {ICAPS conference series},
title = {Debugging a Policy: Automatic Action-Policy Testing in AI Planning},
volume = {32 (2022)},
year = {2022}
}