Case-based Planning for Problems with Real-valued Fluents: Kernel Functions for Effective Plan Retrieval

@inproceedings{Gerevini2012CasebasedPF,
  title={Case-based Planning for Problems with Real-valued Fluents: Kernel Functions for Effective Plan Retrieval},
  author={A. Gerevini and A. Saetti and I. Serina},
  booktitle={ECAI},
  year={2012}
}
Case-based planning (CBP) re-uses existing plans as a starting point to solve new planning problems. In this work, we address CBP for planning in PDDL domains with real-valued fluents, that are essential to model real-world problems involving continuous resources. Specifically, we propose some new heuristic techniques for retrieving a plan from a library of existing plans that is promising for a new given planning problem, i.e., that can be efficiently adapted to solve the new problem. The… Expand

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References

SHOWING 1-10 OF 13 REFERENCES
Kernel functions for case-based planning
  • I. Serina
  • Mathematics, Computer Science
  • Artif. Intell.
  • 2010
TLDR
This paper describes an innovative case-based planning system, called OAKplan, which can efficiently retrieve planning cases from plan libraries containing more than ten thousand cases, choose heuristically a suitable candidate and adapt it to provide a good quality solution plan which is similar to the one retrieved from the case library. Expand
A Survey on Case-Based Planning
TLDR
A survey of case-based planning, in terms of its historical roots, underlying foundations, methods and techniques currently used, limitations, and future trends is presented. Expand
An approach to efficient planning with numerical fluents and multi-criteria plan quality
TLDR
An incremental approach to automated planning with numerical fluents and multi-criteria objective functions for pddl numerical planning problems and defines the numerical action graph (NA-graph) representation for numerical plans and proposes some new local search techniques using this representation. Expand
Domain Independent Approaches for Finding Diverse Plans
TLDR
It is described how two representative state-of-the-art domain independent planning approaches - one based on compilation to CSP, and the other based on heuristic local search - can be adapted to produce diverse plans. Expand
Efficient Plan Adaptation through Replanning Windows and Heuristic Goals
TLDR
This paper investigates a domain-independent method for plan adaptation that modifies the original plan by replanning within limited temporal windows containing portions of the plan that need to be revised. Expand
PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains
TLDR
The syntax of the language, PDDL2.1, is described, which has considerable modelling power -- exceeding the capabilities of current planning technology -- and presents a number of important challenges to the research community. Expand
Plan Reuse Versus Plan Generation: A Theoretical and Empirical Analysis
TLDR
The utility of plan-reuse techniques is limited and that these limits have not been determined yet, as it is revealed that plan reuse can actually be strictly more difficult than plan generation. Expand
Plan Stability: Replanning versus Plan Repair
TLDR
This work presents arguments to support the claim that plan stability is a valuable property, and proposes an implementation, based on LPG, of a plan repair strategy that adapts a plan to its new context. Expand
A metric for distributions with applications to image databases
TLDR
This paper uses the Earth Mover's Distance to exhibit the structure of color-distribution and texture spaces by means of Multi-Dimensional Scaling displays, and proposes a novel approach to the problem of navigating through a collection of color images, which leads to a new paradigm for image database search. Expand
Optimal assignment kernels for attributed molecular graphs
We propose a new kernel function for attributed molecular graphs, which is based on the idea of computing an optimal assignment from the atoms of one molecule to those of another one, includingExpand
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