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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 201–225 of 261 papers

TitleStatusHype
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise—0
Mean-based Heuristic Search for Real-Time Planning—0
Discovering Reliable Dependencies from Data: Hardness and Improved AlgorithmsCode0
Path Finding for the Coalition of Co-operative Agents Acting in the Environment with Destructible Obstacles—0
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making—0
Heuristics for vehicle routing problems: Sequence or set optimization?—0
Testing Deep Neural Networks—0
DeepType: Multilingual Entity Linking by Neural Type System EvolutionCode0
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing—0
A Heuristic Search Algorithm Using the Stability of Learning Algorithms in Certain Scenarios as the Fitness Function: An Artificial General Intelligence Engineering Approach—0
Dynamic Importance Sampling for Anytime Bounds of the Partition Function—0
Heuristic Search for Structural Constraints in Data Association—0
Evolving Deep Convolutional Neural Networks for Image ClassificationCode0
On the Discrimination Power and Effective Utilization of Active Learning Measures in Version Space Search—0
Solving Mixed Model Workplace Time-dependent Assembly Line Balancing Problem with FSS Algorithm—0
Neural Machine Translation with Gumbel-Greedy Decoding—0
A Formal Characterization of the Local Search Topology of the Gap Heuristic—0
Numerical Integration and Dynamic Discretization in Heuristic Search Planning over Hybrid Domains—0
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node ExpansionsCode0
Generation of Near-Optimal Solutions Using ILP-Guided Sampling—0
Toward Efficient Task Assignment and Motion Planning for Large Scale Underwater Mission—0
Finetuning Randomized Heuristic Search For 2D Path Planning: Finding The Best Input Parameters For R* Algorithm Through Series Of Experiments—0
Feature-Based Diversity Optimization for Problem Instance Classification—0
PERCH: Perception via Search for Multi-Object Recognition and Localization—0
Web Search Result Clustering based on Heuristic Search and k-means—0
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