mlsanityData to 7 Oct 2026

Real-World Planning with PDDL+ and Beyond

arXiv 2402.11901 ↗First posted 19 Feb 2024cs.AIcited by 2

Not on the map. Why?

Abstract (arXiv)

Real-world applications of AI Planning often require a highly expressive modeling language to accurately capture important intricacies of target systems. Hybrid systems are ubiquitous in the real-world, and PDDL+ is the standardized modeling language for capturing such systems as planning domains. PDDL+ enables accurate encoding of mixed discrete-continuous system dynamics, exogenous activity, and many other interesting features exhibited in realistic scenarios. However, the uptake in usage of PDDL+ has been slow and apprehensive, largely due to a general shortage of PDDL+ planning software, and rigid limitations of the few existing planners. To overcome this chasm, we present Nyx, a novel PDDL+ planner built to emphasize lightness, simplicity, and, most importantly, adaptability. The planner is designed to be effortlessly customizable to expand its capabilities well beyond the scope of PDDL+. As a result, Nyx can be tailored to virtually any potential real-world application requiring some form of AI Planning, paving the way for wider adoption of planning methods for solving real-world problems.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 2 of its 29 references that are in the map. First posted on arXiv 19 Feb 2024.

Builds on

2 of 29 references.

References · 2

  1. 2014Plan-based Policies for Efficient Multiple Battery Load Managementcited by 3
  2. 2021Playing Angry Birds with a Domain-Independent PDDL+ Plannercited by 1

Built on by

Cited by year

Citing papers per year: 2025: 2.

2 papers.