TY - GEN
T1 - Compliant conditions for polynomial time approximation of operator counts
AU - Chakraborti, Tathagata
AU - Sreedharan, Sarath
AU - Sengupta, Sailik
AU - Satish Kumar, T. K.
AU - Kambhampati, Subbarao
N1 - Funding Information:
Acknowledgment. This research is supported in part by the ONR grants N00014-13-1-0176, N00014-13-1-0519 and N00014-15-1-2027, and ARO grant W911NF-13-1-0023.
Publisher Copyright:
Copyright © 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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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M3 - Conference contribution
AN - SCOPUS:85048617858
T3 - Proceedings of the 9th Annual Symposium on Combinatorial Search, SoCS 2016
SP - 123
EP - 124
BT - Proceedings of the 9th Annual Symposium on Combinatorial Search, SoCS 2016
A2 - Baier, Jorge A.
A2 - Botea, Adi
PB - AAAI press
T2 - 9th Annual Symposium on Combinatorial Search, SoCS 2016
Y2 - 6 July 2016 through 8 July 2016
ER -