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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
HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models—0
SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge—0
Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning—0
Scaling-up Generalized Planning as Heuristic Search with Landmarks—0
Searching for More Efficient Dynamic Programs—0
Search-Map-Search: A Frame Selection Paradigm for Action Recognition—0
Search-Space Characterization for Real-time Heuristic Search—0
Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster—0
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration—0
Solving 7x7 Killall-Go with Seki Database—0
Solving Mixed Model Workplace Time-dependent Assembly Line Balancing Problem with FSS Algorithm—0
Statistical Distance Based Deterministic Offspring Selection in SMC Methods—0
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues—0
Symbolic Search for Optimal Planning with Expressive Extensions—0
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices—0
Temporal Planning with Intermediate Conditions and Effects—0
Testing Deep Neural Networks—0
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making—0
The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks—0
The Optimality of Satisficing Solutions—0
Theoretical Analysis of Heuristic Search Methods for Online POMDPs—0
The Partner Units Configuration Problem: Completing the Picture—0
The αμ Search Algorithm for the Game of Bridge—0
Topological Value Iteration Algorithms—0
Toward Efficient Task Assignment and Motion Planning for Large Scale Underwater Mission—0
Transition-Based Syntactic Linearization—0
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints—0
Universal Policies for Software-Defined MDPs—0
Voxel selection framework based on meta-heuristic search and mutual information for brain decoding—0
Web Search Result Clustering based on Heuristic Search and k-means—0
Windowed MAPF with Completeness Guarantees—0
"Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming—0
A*+BFHS: A Hybrid Heuristic Search Algorithm—0
Zooming Cautiously: Linear-Memory Heuristic Search With Node Expansion Guarantees—0
A Block-Based Heuristic Algorithm for the Three-Dimensional Nuclear Waste Packing Problem—0
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning—0
Action Selection for MDPs: Anytime AO* vs. UCT—0
A Formal Characterization of the Local Search Topology of the Gap Heuristic—0
A Heuristic for Efficient Reduction in Hidden Layer Combinations For Feedforward Neural Networks—0
A Heuristic Search Algorithm for Solving First-Order MDPs—0
A Heuristic Search Algorithm Using the Stability of Learning Algorithms in Certain Scenarios as the Fitness Function: An Artificial General Intelligence Engineering Approach—0
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains—0
A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters—0
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems—0
A Meta-Heuristic Search Algorithm based on Infrasonic Mating Displays in Peafowls—0
A Multi-Heuristic Search-based Motion Planning for Automated Parking—0
Analysis of English free association network reveals mechanisms of efficient solution of Remote Association Tests—0
An Efficient Genetic Algorithm for Discovering Diverse-Frequent Patterns—0
An Efficient Incremental Simple Temporal Network Data Structure for Temporal Planning—0
An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing—0
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