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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
Novelty Heuristics, Multi-Queue Search, and Portfolios for Numeric Planning—0
Numerical Integration and Dynamic Discretization in Heuristic Search Planning over Hybrid Domains—0
On Bellman's Optimality Principle for zs-POSGs—0
Online Planning Algorithms for POMDPs—0
On-line Planning and Scheduling: An Application to Controlling Modular Printers—0
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments—0
On the Discrimination Power and Effective Utilization of Active Learning Measures in Version Space Search—0
On the Linear Belief Compression of POMDPs: A re-examination of current methods—0
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection—0
Opti Code Pro: A Heuristic Search-based Approach to Code Refactoring—0
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing—0
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing—0
Optimal Settings for Cryptocurrency Trading Pairs—0
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage—0
Optimizing Dynamic Structures with Bayesian Generative Search—0
Optimizing Minimum Vertex Cover Solving via a GCN-assisted Heuristic Algorithm—0
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs—0
Path Finding for the Coalition of Co-operative Agents Acting in the Environment with Destructible Obstacles—0
PERCH: Perception via Search for Multi-Object Recognition and Localization—0
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization—0
Planning for the Efficient Updating of Mutual Fund Portfolios—0
Policy-Space Search: Equivalences, Improvements, and Compression—0
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning—0
Reactive Sample Size for Heuristic Search in Simulation-based Optimization—0
Representation, learning, and planning algorithms for geometric task and motion planning—0
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