@inproceedings{2afbc707fe6c41a89bfcdd35eefb655d,
title = "Interval-based relaxation for general numeric planning",
abstract = "We generalise the interval-based relaxation to sequential numeric planning problems with non-linear conditions and effects, and cyclic dependencies. This effectively removes all the limitations on the problem placed in previous work on numeric planning heuristics, and even allows us to extend the planning language with a wider set of mathematical functions. Heuristics obtained from the generalised relaxation are pruning-safe. We derive one such heuristic and use it to solve discrete-time control-like planning problems with autonomous processes. Few planners can solve such problems, and search with our new heuristic compares favourably with them.",
author = "Enrico Scala and Patrik Haslum and Sylvie Thiebaux and Miquel Ramirez",
note = "Publisher Copyright: {\textcopyright} 2016 The Authors and IOS Press.; 22nd European Conference on Artificial Intelligence, ECAI 2016 ; Conference date: 29-08-2016 Through 02-09-2016",
year = "2016",
doi = "10.3233/978-1-61499-672-9-655",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "655--663",
editor = "Kaminka, {Gal A.} and Maria Fox and Paolo Bouquet and Eyke Hullermeier and Virginia Dignum and Frank Dignum and {van Harmelen}, Frank",
booktitle = "Frontiers in Artificial Intelligence and Applications",
address = "Netherlands",
}