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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 21–30 of 261 papers

TitleStatusHype
Efficient Reinforcement Learning with Large Language Model Priors—0
Windowed MAPF with Completeness Guarantees—0
LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner—0
Multi-objective Evolution of Heuristic Using Large Language Model—0
Learning Discrete World Models for Heuristic SearchCode1
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
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