Summary of Some Orders Are Important: Partially Preserving Orders in Top-quality Planning, by Michael Katz et al.
Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning
by Michael Katz, Junkyu Lee, Jungkoo Kang, Shirin Sohrabi
First submitted to arxiv on: 1 Apr 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 This paper addresses the limitation of current planners, which only consider two extremes: all orders matter or none matter. The authors propose a new approach that allows specifying a subset of important action orders, enabling flexibility in planning. They explore adapting partial order reduction search pruning techniques to address this computational problem and demonstrate the benefits through experimental evaluations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps make planning more flexible by allowing planners to choose which steps matter most. Right now, planners only consider two options: all orders are important or none are. The authors suggest a new way to do things that lets them pick which order of actions is crucial. They tested this approach and found it improved the results. |
Keywords
» Artificial intelligence » Pruning
