#a-star-algorithm News & Analysis

2 articles tagged with #a-star-algorithm. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 236/10

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LLM-Aided A* Search in Non-Geometric Network Graphs

Researchers propose an LLM-aided A* algorithm that uses large language models to generate intermediate waypoints for finding shortest paths in non-geometric network graphs where traditional geometric heuristics don't apply. The approach reduces node expansion by ~50% while maintaining near-optimal path costs, demonstrating that combining LLMs with classical algorithms can enhance network optimization.

AINeutralarXiv – CS AI · Jun 46/10

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Learning Empirically Admissible Neural Heuristics for Combinatorial Search

Researchers introduce a framework for training neural networks to solve combinatorial puzzles optimally by enforcing admissibility constraints—ensuring heuristics never overestimate remaining costs. The method combines an underestimating Bellman operator with asymmetric loss functions and post-hoc calibration, achieving significant reductions in search node expansions while maintaining solution optimality.