Summary of On the Computational Complexity Of Stackelberg Planning and Meta-operator Verification: Technical Report, by Gregor Behnke et al.
On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification: Technical Report
by Gregor Behnke, Marcel Steinmetz
First submitted to arxiv on: 26 Mar 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 A recent machine learning model called Stackelberg planning combines elements of classical planning and two-player games. In this approach, one player tries to hinder another’s goal achievement. This paper investigates the theoretical complexity of Stackelberg planning, comparing it to classical planning. Surprisingly, under certain restrictions, Stackelberg planning is only slightly more complex than classical planning. However, without these restrictions, Stackelberg planning remains intractable. The study also explores the complexity of verifying meta-operators, which are connected to Stackelberg planning. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A new kind of game called Stackelberg planning lets two players work together or against each other. One player wants to stop the other from achieving its goal. This paper looks at how hard it is to play this game and compare it to a similar game called classical planning. They found that under some rules, it’s only slightly harder than the classic game. But without these rules, the new game is very hard to solve. The study also looked at another problem connected to Stackelberg planning. |
Keywords
» Artificial intelligence » Machine learning
