Improving Plan Execution Flexibility using Block-Substitution
Sabah Binte Noor, Fazlul Hasan Siddiqui
TL;DR
The paper tackles limited execution flexibility in planning by enabling block-substitution within block-decomposed partial-order plans. It introduces block-substitution (BS) and the FIBS algorithm, which combines explanation-based deordering, block deordering, and substitution-driven modifications to BDPOs, while pruning redundant operators and ensuring plan validity. Empirical results on IPC benchmarks show substantial gains in plan flexibility (flex) with competitive runtime and good coverage, particularly when FIBS is combined with MaxSAT reorderings. The approach offers a practical pathway to more robust plan execution under dynamic conditions and suggests future extensions to broader planning paradigms and features.
Abstract
Partial-order plans in AI planning facilitate execution flexibility due to their less-constrained nature. Maximizing plan flexibility has been studied through the notions of plan deordering, and plan reordering. Plan deordering removes unnecessary action orderings within a plan, while plan reordering modifies them arbitrarily to minimize action orderings. This study, in contrast with traditional plan deordering and reordering strategies, improves a plan's flexibility by substituting its subplans with actions outside the plan for a planning problem. We exploit block deordering, which eliminates orderings in a POP by encapsulating coherent actions in blocks, to construct action blocks as candidate subplans for substitutions. In addition, this paper introduces a pruning technique for eliminating redundant actions within a BDPO plan. We also evaluate our approach when combined with MaxSAT-based reorderings. Our experimental result demonstrates a significant improvement in plan execution flexibility on the benchmark problems from International Planning Competitions (IPC), maintaining good coverage and execution time.
