Summary of Real-world Planning with Pddl+ and Beyond, by Wiktor Piotrowski et al.
Real-World Planning with PDDL+ and Beyond
by Wiktor Piotrowski, Alexandre Perez
First submitted to arxiv on: 19 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents Nyx, a novel planner designed to address the limitations of existing PDDL+ planners. The authors highlight the importance of using a highly expressive modeling language like PDDL+ to accurately capture complex systems in AI Planning applications. While PDDL+ is widely used for hybrid system modeling, its adoption has been slow due to the lack of suitable planning software. Nyx aims to fill this gap by providing a lightweight, customizable, and adaptable planner that can be tailored to various real-world applications. The paper demonstrates Nyx’s capabilities and potential for wider adoption in AI Planning. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Nyx is a new AI planner designed to make PDDL+ more useful for solving real-world problems. Right now, it’s hard to use PDDL+ because there aren’t many planners that can handle it well. The authors of this paper want to change that by creating Nyx, a planner that’s light, simple, and flexible. This means you can easily make Nyx better at doing things that are important for your specific problem. |
