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Heuristic Search

Heuristic Search is a problem-solving method that uses practical rules or "guides" (heuristics) to find solutions more quickly than exhaustive search, by focusing on the most promising paths first.

Papers

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Showing 126–150 of 261 papers

TitleStatusHype
Voxel selection framework based on meta-heuristic search and mutual information for brain decoding—0
A Meta-Heuristic Search Algorithm based on Infrasonic Mating Displays in Peafowls—0
MASAI: Multi-agent Summative Assessment Improvement for Unsupervised Environment DesignCode0
Similarity Downselection: A Python implementation of a heuristic search algorithm for finding the set of the n most dissimilar items with an application in conformer samplingCode0
Generalized Planning as Heuristic Search—0
Parallel Model Exploration for Tumor Treatment SimulationsCode0
Similarity-Based Equational Inference in PhysicsCode0
A*+BFHS: A Hybrid Heuristic Search Algorithm—0
Policy-Guided Heuristic Search with GuaranteesCode1
S^*: A Heuristic Information-Based Approximation Framework for Multi-Goal Path FindingCode0
Fast threshold optimization for multi-label audio tagging using Surrogate gradient learningCode0
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning—0
Towards Optimally Efficient Search with Deep Learning for Large-Scale MIMO SystemsCode0
Universal Policies for Software-Defined MDPs—0
Deliberative and Conceptual Inference in Service RobotsCode0
Heuristic Domain AdaptationCode1
RBF-HS: Recursive Best-First Hitting Set Search—0
Goal-directed Generation of Discrete Structures with Conditional Generative Models—0
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network—0
ChemoVerse: Manifold traversal of latent spaces for novel molecule discovery—0
Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering—0
Analysis of English free association network reveals mechanisms of efficient solution of Remote Association Tests—0
Optimistic variants of single-objective bilevel optimization for evolutionary algorithmsCode0
Few-shots Parallel Algorithm Portfolio Construction via Co-evolution—0
On Bellman's Optimality Principle for zs-POSGs—0
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