Research
159d agoPartial Grounding Boosts SAT Planning
A new SAT‑based planning technique reduces exponential growth by partially grounding predicates, achieving linear scaling with plan length. The method outperforms existing planners on complex, length‑optimal tasks, promising faster, more efficient automated reasoning worldwide.
The Signal
Researchers at ArXiv demonstrate that hybrid encodings can bridge the gap between lifted and grounded approaches, opening avenues for scalable AI planning across industries.