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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 151–200 of 261 papers

TitleStatusHype
Optimistic variants of single-objective bilevel optimization for evolutionary algorithmsCode0
Few-shots Parallel Algorithm Portfolio Construction via Co-evolution—0
On Bellman's Optimality Principle for zs-POSGs—0
Dynamic User Pairing for Non-Orthogonal Multiple Access in Downlink Networks—0
Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned SystemsCode0
Learning Heuristic Selection with Dynamic Algorithm ConfigurationCode0
Extending the Multiple Traveling Salesman Problem for Scheduling a Fleet of Drones Performing Monitoring Missions—0
Reactive Sample Size for Heuristic Search in Simulation-based Optimization—0
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising—0
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)—0
gBeam-ACO: a greedy and faster variant of Beam-ACO—0
Multi-Resolution A*—0
Exponential Upper Bounds for the Runtime of Randomized Search Heuristics—0
A Neural Architecture Search based Framework for Liquid State Machine Design—0
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization—0
ARMS: Automated rules management system for fraud detectionCode0
GLSearch: Maximum Common Subgraph Detection via Learning to Search—0
Optimizing Dynamic Structures with Bayesian Generative Search—0
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters—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
Counterfactual Explanation Algorithms for Behavioral and Textual DataCode0
The αμ Search Algorithm for the Game of Bridge—0
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning—0
Action Selection for MDPs: Anytime AO* vs. UCT—0
Neural Maximum Common Subgraph Detection with Guided Subgraph Extraction—0
A Heuristic for Efficient Reduction in Hidden Layer Combinations For Feedforward Neural Networks—0
Temporal Planning with Intermediate Conditions and Effects—0
Compiler-Level Matrix Multiplication Optimization for Deep Learning—0
Efficient Multivariate Bandit Algorithm with Path Planning—0
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters—0
Discovering Reliable Correlations in Categorical DataCode0
ASNets: Deep Learning for Generalised PlanningCode0
Iterative Budgeted Exponential Search—0
Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering—0
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates—0
Heuristic Authorship ObfuscationCode0
Hybrid Planning for Dynamic Multimodal Stochastic Shortest PathsCode0
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces—0
Exponential-Binary State-Space Search—0
Zooming Cautiously: Linear-Memory Heuristic Search With Node Expansion Guarantees—0
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs—0
Improved Safe Real-time Heuristic Search—0
Semantic variation operators for multidimensional genetic programmingCode0
A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters—0
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments—0
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices—0
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection—0
Learning Loop Invariants for Program VerificationCode0
Single-Agent Policy Tree Search With GuaranteesCode0
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