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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 26–50 of 261 papers

TitleStatusHype
HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models—0
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts—0
POGEMA: A Benchmark Platform for Cooperative Multi-Agent PathfindingCode1
Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehiclesCode0
A Training Data Recipe to Accelerate A* Search with Language ModelsCode0
Microgrid Planner: A Distributed Energy Resource Sizing Method—0
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path PlanningCode2
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning—0
BlockPruner: Fine-grained Pruning for Large Language ModelsCode1
Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses—0
SLOPE: Search with Learned Optimal Pruning-based ExpansionCode0
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability ObjectivesCode0
Using Constraints to Discover Sparse and Alternative Subgroup DescriptionsCode0
Crafting a Pogo Stick in Minecraft with Heuristic Search (Extended Abstract)Code0
DAGER: Exact Gradient Inversion for Large Language ModelsCode1
Consolidating LAMA with Best-First Width Search—0
HSVI-based Online Minimax Strategies for Partially Observable Stochastic Games with Neural Perception Mechanisms—0
Novelty Heuristics, Multi-Queue Search, and Portfolios for Numeric Planning—0
Improving Learnt Local MAPF Policies with Heuristic Search—0
Policy-Space Search: Equivalences, Improvements, and Compression—0
Can Large Language Models Play Games? A Case Study of A Self-Play Approach—0
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical FeedbackCode2
Domain-Independent Dynamic ProgrammingCode2
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems—0
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision ProcessesCode0
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