Exponential deepening a* for real-time agent-centered search (extended abstract), full version has been accepted to aaai-2014

Guni Sharon, Ariel Felner, Nathan R. Sturtevant

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces Exponential Deepening A* (EDA*), an Iterative Deepening (ID) algorithm where the threshold between successive Depth-First calls is increased exponentially. EDA* can be viewed as a Real-Time Agent-Centered (RTACS) algorithm. Unlike most existing RTACS algorithms, EDA* is proven to hold a worst case bound that is linear in the state space. Experimental results demonstrate up to 5x reduction over existing RTACS solvers wrt distance traveled, states expanded and CPU runtime. Full version of this paper appears in AAAI-14.

Original languageEnglish
Title of host publicationProceedings of the 7th Annual Symposium on Combinatorial Search, SoCS 2014
EditorsStefan Edelkamp, Roman Bartak
PublisherAAAI press
Pages209-210
Number of pages2
ISBN (Electronic)9781577356769
StatePublished - 1 Jan 2014
Event7th Annual Symposium on Combinatorial Search, SoCS 2014 - Prague, Czech Republic
Duration: 15 Aug 201417 Aug 2014

Publication series

NameProceedings of the 7th Annual Symposium on Combinatorial Search, SoCS 2014
Volume2014-January

Conference

Conference7th Annual Symposium on Combinatorial Search, SoCS 2014
Country/TerritoryCzech Republic
CityPrague
Period15/08/1417/08/14

ASJC Scopus subject areas

  • Computer Networks and Communications

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