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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 11–20 of 261 papers

TitleStatusHype
DAGER: Exact Gradient Inversion for Large Language ModelsCode1
Deep Generative Symbolic RegressionCode1
CylinderTag: An Accurate and Flexible Marker for Cylinder-Shape Objects Pose Estimation Based on Projective InvariantsCode1
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and LearningCode1
RetroBridge: Modeling Retrosynthesis with Markov BridgesCode1
Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service SystemsCode1
TransPath: Learning Heuristics For Grid-Based Pathfinding via TransformersCode1
Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-RescueCode1
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast DeploymentCode1
Flipping the switch on local exploration: Genetic Algorithms with ReversalsCode1
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