Partially Grounded SAT Encoding Boosts Planning | dailyai.report
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Research
159d ago
Partially Grounded SAT Encoding Boosts Planning
Researchers unveiled a partially grounded SAT encoding that reduces the exponential blowup of fully grounded planning. By keeping actions lifted while only partially grounding predicates, the method scales linearly with plan length, outperforming existing approaches.
The Signal
This breakthrough enhances automated reasoning across diverse domains, from logistics to robotics, and accelerates the development of more efficient planning systems worldwide.