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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
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making—0
The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks—0
The Optimality of Satisficing Solutions—0
Theoretical Analysis of Heuristic Search Methods for Online POMDPs—0
The Partner Units Configuration Problem: Completing the Picture—0
The αμ Search Algorithm for the Game of Bridge—0
Topological Value Iteration Algorithms—0
Toward Efficient Task Assignment and Motion Planning for Large Scale Underwater Mission—0
Transition-Based Syntactic Linearization—0
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints—0
Universal Policies for Software-Defined MDPs—0
Voxel selection framework based on meta-heuristic search and mutual information for brain decoding—0
Web Search Result Clustering based on Heuristic Search and k-means—0
Windowed MAPF with Completeness Guarantees—0
"Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming—0
A*+BFHS: A Hybrid Heuristic Search Algorithm—0
GLSearch: Maximum Common Subgraph Detection via Learning to Search—0
Feature-Based Diversity Optimization for Problem Instance Classification—0
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts—0
Few-shots Parallel Algorithm Portfolio Construction via Co-evolution—0
Finetuning Randomized Heuristic Search For 2D Path Planning: Finding The Best Input Parameters For R* Algorithm Through Series Of Experiments—0
gBeam-ACO: a greedy and faster variant of Beam-ACO—0
Generalized Planning as Heuristic Search—0
Generating Acrostics via Paraphrasing and Heuristic Search—0
Generation of Near-Optimal Solutions Using ILP-Guided Sampling—0
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