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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 51–75 of 261 papers

TitleStatusHype
A Training Data Recipe to Accelerate A* Search with Language ModelsCode0
Microgrid Planner: A Distributed Energy Resource Sizing Method—0
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning—0
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
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
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
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints—0
Towards Efficient Verification of Quantized Neural NetworksCode0
Rectangle Search: An Anytime Beam Search (Extended Version)Code0
Planning for the Efficient Updating of Mutual Fund Portfolios—0
A More General Theory of Diagnosis from First PrinciplesCode0
Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems—0
Heuristic Search for Path Finding with Refuelling—0
An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the EdgeCode0
"Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming—0
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