On Improving Conformant Planners by Analyzing Domain-Structures

Authors

  • Khoi Nguyen New Mexico State University
  • Vien Tran New Mexico State University
  • Tran Son New Mexico State University
  • Enrico Pontelli New Mexico State University

DOI:

https://doi.org/10.1609/aaai.v25i1.8005

Abstract

The paper introduces a novel technique for improving the performance and scalability of best-first progression-based conformant planners. The technique is inspired by different well-known techniques from classical planning, such as landmark and stratification. Its most salient feature is that it is relatively cheap to implement yet quite effective when applicable. The effectiveness of the proposed technique is demonstrated by the development of new conformant planners by integrating the technique in various state-of-the-art conformant planners and an extensive experimental evaluation of the new planners using benchmarks collected from various sources. The result shows that the technique can be applied in several benchmarks and helps improve both performance and scalability of conformant planners.

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Published

2011-08-04

How to Cite

Nguyen, K., Tran, V., Son, T., & Pontelli, E. (2011). On Improving Conformant Planners by Analyzing Domain-Structures. Proceedings of the AAAI Conference on Artificial Intelligence, 25(1), 998-1003. https://doi.org/10.1609/aaai.v25i1.8005

Issue

Section

Reasoning about Plans, Processes and Actions