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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 231–240 of 261 papers

TitleStatusHype
Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses—0
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control—0
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces—0
Distributed Mission Planning of Complex Tasks for Heterogeneous Multi-Robot Teams—0
DPLL(MAPF): an Integration of Multi-Agent Path Finding and SAT Solving Technologies—0
Dynamic Importance Sampling for Anytime Bounds of the Partition Function—0
Dynamic User Pairing for Non-Orthogonal Multiple Access in Downlink Networks—0
Ecological landscapes guide the assembly of optimal microbial communities—0
Efficient Multivariate Bandit Algorithm with Path Planning—0
Efficient Reinforcement Learning with Large Language Model Priors—0
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