Recent work has considered whether large language models (LLMs) can function as
planners: given a task, generate a plan. We investigate whether LLMs can serve as …

Automated planning is concerned with developing efficient algorithms to generate plans or
sequences of actions to achieve a specific goal in a given environment. Emerging Large …

In this article, we show that explanations of decisions made by machine learning systems
can be improved by not only explaining why a decision was made but also explaining how …

The problem of goal recognition requests to automatically infer an accurate probability
distribution over possible goals an autonomous agent is attempting to achieve in the …

The need for finding a set of plans rather than one has been motivated by a variety of
planning applications. The problem is studied in the context of both diverse and top-k …

Submodular functions allow to model many real-world optimisation problems. This paper
introduces approaches for computing diverse sets of high quality solutions for submodular …

Many automated planning systems allow users to specify their preferences in order to
generate plans that are of high quality according to specified preferences. However …

Abstract While Machine Learning has achieved considerable success in recent years, this
success crucially relies on human experts to select appropriate features, workflows …

In top-k planning, the objective is to determine a set of k cheapest plans that provide several
good alternatives to choose from. Such a solution set often contains plans that visit at least …

PLANUTILS is a general library for setting up Linux-based environments for developing,
running, and evaluating planners. Over the last decades, the planning community has …