Compliant Conditions for Polynomial Time Approximation of Operator Counts

Authors

  • Tathagata Chakraborti Arizona State University
  • Sarath Sreedharan Arizona State University
  • Sailik Sengupta Arizona State University
  • T. K. Satish Kumar University of Southern California
  • Subbarao Kambhampati Arizona State University

DOI:

https://doi.org/10.1609/socs.v7i1.18401

Keywords:

operator count, Lagrangian, sparse coding

Abstract

In this brief abstract, we develop a computationally simpler version of the operator count heuristic for a particular class of domains. The contribution of this abstract is thus threefold, we (1) propose an efficient closed form approximation to the operator count heuristic; (2) leverage compressed sensing techniques to obtain an integer approximation in polynomial time; and (3) discuss the relationship of the proposed formulation to existing heuristics and investigate properties of domains where such approaches are useful.

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Published

2021-09-01

How to Cite

Chakraborti, T., Sreedharan, S., Sengupta, S., Kumar, T. K. S., & Kambhampati, S. (2021). Compliant Conditions for Polynomial Time Approximation of Operator Counts. Proceedings of the International Symposium on Combinatorial Search, 7(1), 123–124. https://doi.org/10.1609/socs.v7i1.18401