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New ILP model refines cost-bounded plan reductions

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a refined model for extracting optimal cost-bounded subplans from precomputed plans, a crucial task when budget constraints arise after an initial plan is made. This new approach preserves the original action order and executability while maximizing utility within a cost limit. The study introduces an enhanced Integer Linear Programming (ILP) formulation that significantly reduces model size and boosts computational efficiency, building upon prior work presented at ICAPS 2026. AI

IMPACT This research could lead to more efficient resource management in AI planning systems facing dynamic budget constraints.

RANK_REASON The cluster contains an academic paper detailing a new model and method for planning problems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ILP model refines cost-bounded plan reductions

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The cluster contains an academic paper detailing a new model and method for planning problems. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Martha Del Toro, Raquel Fuentetaja, Angel Garc\'ia-Olaya ·

    Finding Optimal Cost-Bounded Plan Reductions: Refined Model

    arXiv:2607.25484v1 Announce Type: new Abstract: In some real applications a plan may later become unfeasible due to newly imposed budget constraints, yet, at the same time, using only the original actions of the plan and their order is mandatory. In this paper, we study the probl…

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