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  1. Outputs

FOND Planning for Pure-Past Linear Temporal Logic Goals

Conference Paper
Publication Date:
2023
Abstract:
Recently, Pure-Past Temporal Logic (PPLTL) has proven highly effective in specifying temporally extended goals in deterministic planning domains. In this paper, we show its effectiveness also for fully observable nondeterministic (FOND) planning, both for strong and strong-cyclic plans. We present a notably simple encoding of FOND planning for PPLTL goals into standard FOND planning for final-state goals. The encoding only introduces few fluents (at most linear in the PPLTL goal) without adding any spurious action and allows planners to lazily build the relevant part of the deterministic automaton for the goal formula on-the-fly during the search. We formally prove its correctness, implement it in a tool called Plan4Past, and experimentally show its practical effectiveness.
CRIS type:
4.1 Contributo in Atti di convegno
List of contributors:
Bonassi, L.; De Giacomo, G.; Favorito, M.; Fuggitti, F.; Gerevini, A. E.; Scala, E.
Authors of the University:
GEREVINI Alfonso Emilio
SCALA Enrico
Handle:
https://iris.unibs.it/handle/11379/597212
Book title:
Frontiers in Artificial Intelligence and Applications
Published in:
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS
Journal
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS
Series
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