Melbourne, Australia. November 11-17, 2025.
ISSN: 2334-1033
ISBN: 978-1-956792-08-9
Copyright © 2025 International Joint Conferences on Artificial Intelligence Organization
Identifying the specific actions that achieve goals when
solving a planning task might be beneficial for various
planning applications. Traditionally, this identification occurs
post-search, as some actions may temporarily achieve goals
that are later undone and re-achieved by other actions. In
this paper, we propose a compilation that extends the
original planning task with commit actions that enforce the
persistence of specific goals once achieved, allowing
planners to identify permanent goal achievement during
planning. Experimental results indicate that solving the
reformulated tasks does not incur on any additional
overhead both when performing optimal and suboptimal
planning, while providing useful information for some
downstream tasks.