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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 151–175 of 261 papers

TitleStatusHype
Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems—0
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing—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
Grid-based angle-constrained path planning—0
Hardware Distortion Modeling for Panel Selection in Large Intelligent Surfaces—0
Heuristic Search as Evidential Reasoning—0
Heuristic Search for Multi-Objective Probabilistic Planning—0
Heuristic Search for Path Finding with Refuelling—0
Heuristic Search For Physics-Based Problems: Angry Birds in PDDL+—0
Heuristic Search for Rank Aggregation with Application to Label Ranking—0
Heuristic Search for Structural Constraints in Data Association—0
Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning—0
Heuristics for vehicle routing problems: Sequence or set optimization?—0
Homotopy based algorithms for _0-regularized least-squares—0
HSVI-based Online Minimax Strategies for Partially Observable Stochastic Games with Neural Perception Mechanisms—0
HSVI can solve zero-sum Partially Observable Stochastic Games—0
HSVI for zs-POSGs using Concavity, Convexity and Lipschitz Properties—0
Ideal Reformulation of Belief Networks—0
Implicit Abstraction Heuristics—0
Improved Safe Real-time Heuristic Search—0
Improving Learnt Local MAPF Policies with Heuristic Search—0
Inconsistency and Accuracy of Heuristics with A* Search—0
Induction, of and by Probability—0
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters—0
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