An Approach to Quantify Plans Robustness in Real-world Applications

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the 34th International Joint Conference on Artificial Intelligence
Subtitle of host publication	IJCAI 2025
Publication status	Accepted/In press - 29 Apr 2025
Event	34th International Joint Conference on Artificial Intelligence - Montreal, Canada Duration: 16 Aug 2025 → 22 Aug 2025 Conference number: 34 https://2025.ijcai.org/

Conference	34th International Joint Conference on Artificial Intelligence
Abbreviated title	IJCAI 2025
Country/Territory	Canada
City	Montreal
Period	16/08/25 → 22/08/25
Internet address	https://2025.ijcai.org/

Cite this

@inproceedings{7a06bf0d29c04287aa8c37368f8403fe,

title = "An Approach to Quantify Plans Robustness in Real-world Applications",

author = "Francesco Percassi and Sandra Castellanos and Romain Rombourg and Mauro Vallati",

year = "2025",

month = apr,

day = "29",

language = "English",

booktitle = "Proceedings of the 34th International Joint Conference on Artificial Intelligence",

note = "34th International Joint Conference on Artificial Intelligence, IJCAI 2025 ; Conference date: 16-08-2025 Through 22-08-2025",

url = "https://2025.ijcai.org/",

}

TY - GEN

T1 - An Approach to Quantify Plans Robustness in Real-world Applications

AU - Percassi, Francesco

AU - Castellanos, Sandra

AU - Rombourg, Romain

AU - Vallati, Mauro

N1 - Conference code: 34

PY - 2025/4/29

Y1 - 2025/4/29

M3 - Conference contribution

BT - Proceedings of the 34th International Joint Conference on Artificial Intelligence

T2 - 34th International Joint Conference on Artificial Intelligence

Y2 - 16 August 2025 through 22 August 2025

ER -