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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 176–200 of 261 papers

TitleStatusHype
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters—0
Influence-Optimistic Local Values for Multiagent Planning --- Extended Version—0
Interactive Ant Colony Optimisation (iACO) for Early Lifecycle Software Design—0
Iterative Budgeted Exponential Search—0
LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner—0
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data—0
Learning in Real-Time Search: A Unifying Framework—0
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)—0
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising—0
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation—0
Local Optima Networks: A New Model of Combinatorial Fitness Landscapes—0
Unlocking the Secrets of Software Configuration Landscapes-Ruggedness, Accessibility, Escapability, and Transferability—0
Mean-based Heuristic Search for Real-Time Planning—0
MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers—0
RBF-HS: Recursive Best-First Hitting Set Search—0
MeshA*: Efficient Path Planing With Motion Primitives—0
Microgrid Planner: A Distributed Energy Resource Sizing Method—0
Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results—0
Movable-Element STARS-Assisted Near-Field Wideband Communications—0
Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering—0
Multi-objective Evolution of Heuristic Using Large Language Model—0
Multi-Resolution A*—0
Multi-Robot Path Planning Combining Heuristics and Multi-Agent Reinforcement Learning—0
NaviAgent: Bilevel Planning on Tool Dependency Graphs for Function Calling—0
Neural Machine Translation with Gumbel-Greedy Decoding—0
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