Summary of Improving Plan Execution Flexibility Using Block-substitution, by Sabah Binte Noor and Fazlul Hasan Siddiqui
Improving Plan Execution Flexibility using Block-Substitution
by Sabah Binte Noor, Fazlul Hasan Siddiqui
First submitted to arxiv on: 5 Jun 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 explores new strategies to improve the flexibility of partial-order plans (POPs) in AI planning, which enables more efficient execution. The authors propose a novel approach that substitutes subplans with actions outside the plan, rather than simply reordering or deordering them. This is achieved by constructing “action blocks” as candidate subplans for substitution. Additionally, the paper introduces a pruning technique to eliminate redundant actions within BDPO plans. Experimental results demonstrate a significant improvement in plan execution flexibility on benchmark problems from the International Planning Competitions (IPC), while maintaining good coverage and execution time. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers found a way to make AI planning more flexible. They did this by changing the order of subplans inside a big plan, rather than just reordering or removing them. This helps plans execute better in unexpected situations. The team also created a technique to get rid of useless actions within these plans. Tests showed that this new approach works well and can handle tricky planning problems. |
Keywords
» Artificial intelligence » Pruning
