Search Results for author: Robert C. Holte

Found 6 papers, 2 papers with code

Rectangle Search: An Anytime Beam Search (Extended Version)

1 code implementation19 Dec 2023 Sofia Lemons, Wheeler Ruml, Robert C. Holte, Carlos Linares López

In this paper, we propose a new algorithm, rectangle search, that is instead based on beam search, a variant of breadth-first search.

Beam Search: Faster and Monotonic

no code implementations6 Apr 2022 Sofia Lemons, Carlos Linares López, Robert C. Holte, Wheeler Ruml

Beam search is a popular satisficing approach to heuristic search problems that allows one to trade increased computation time for lower solution cost by increasing the beam width parameter.

Error Analysis and Correction for Weighted A*'s Suboptimality (Extended Version)

no code implementations27 May 2019 Robert C. Holte, Ruben Majadas, Alberto Pozanco, Daniel Borrajo

There is broad consensus that this bound is not very accurate, that the actual suboptimality of wA*'s solution is often much less than W times optimal.

An Empirical Study of the Effects of Spurious Transitions on Abstraction-based Heuristics

no code implementations14 Nov 2017 Mehdi Sadeqi, Robert C. Holte, Sandra Zilles

However, the quality of abstraction-based heuristic functions, and thus the speed of search, can suffer from spurious transitions, i. e., state transitions in the abstract state space for which no corresponding transitions in the reachable component of the original state space exist.

Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions

1 code implementation10 Mar 2017 Jingwei Chen, Robert C. Holte, Sandra Zilles, Nathan R. Sturtevant

pairs, and present a new admissible front-to-end bidirectional heuristic search algorithm, Near-Optimal Bidirectional Search (NBS), that is guaranteed to do no more than 2VC expansions.

Predicting the Performance of IDA* using Conditional Distributions

no code implementations15 Jan 2014 Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte

In this paper we show that, in addition to requiring the heuristic to be consistent, their formulas predictions are accurate only at levels of the brute-force search tree where the heuristic values obey the unconditional distribution that they defined and then used in their formula.

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