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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 76–100 of 261 papers

TitleStatusHype
A Novel Point-based Algorithm for Multi-agent Control Using the Common Information ApproachCode0
Heuristic Search For Physics-Based Problems: Angry Birds in PDDL+—0
Heuristic Search for Multi-Objective Probabilistic Planning—0
BeamAttack: Generating High-quality Textual Adversarial Examples through Beam Search and Mixed Semantic SpacesCode0
Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars—0
Optimization of Topology-Aware Job Allocation on a High-Performance Computing Cluster by Neural Simulated AnnealingCode0
Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objectsCode0
Asynchronously Trained Distributed Topographic Maps—0
Statistical Distance Based Deterministic Offspring Selection in SMC Methods—0
TransPath: Learning Heuristics For Grid-Based Pathfinding via TransformersCode1
An Efficient Incremental Simple Temporal Network Data Structure for Temporal Planning—0
Ultrafast learning of 4-node hybridization cycles in phylogenetic networks using algebraic invariantsCode0
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring—0
Shielding in Resource-Constrained Goal POMDPsCode0
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical PlanningCode0
HSVI can solve zero-sum Partially Observable Stochastic Games—0
Optimal Settings for Cryptocurrency Trading Pairs—0
Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill?—0
Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-RescueCode1
The (Un)Scalability of Heuristic Approximators for NP-Hard Search ProblemsCode0
Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays—0
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues—0
Non-Blocking Batch A* (Technical Report)—0
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning—0
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation—0
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