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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

Showing 101125 of 261 papers

TitleStatusHype
HSVI can solve zero-sum Partially Observable Stochastic Games0
Optimal Settings for Cryptocurrency Trading Pairs0
Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill?0
The (Un)Scalability of Heuristic Approximators for NP-Hard Search ProblemsCode0
Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays0
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues0
Non-Blocking Batch A* (Technical Report)0
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning0
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation0
Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic ConsistencyCode0
Representation and Synthesis of C++ Programs for Generalized PlanningCode0
Dense Crowd Flow-Informed Path Planning0
Computing Programs for Generalized Planning as Heuristic Search0
Scaling-up Generalized Planning as Heuristic Search with Landmarks0
Approximating Permutations with Neural Network Components for Travelling Photographer Problem0
Beam Search: Faster and Monotonic0
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control0
Symbolic Search for Optimal Planning with Expressive Extensions0
An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing0
Representation, learning, and planning algorithms for geometric task and motion planning0
Factored World Models for Zero-Shot Generalization in Robotic ManipulationCode0
Heuristic Search for Rank Aggregation with Application to Label Ranking0
Unlocking the Secrets of Software Configuration Landscapes-Ruggedness, Accessibility, Escapability, and Transferability0
Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning0
DPLL(MAPF): an Integration of Multi-Agent Path Finding and SAT Solving Technologies0
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