STeLLa v2.0: Planning with Intermediate Goals

Authors:
Laura Sebastia;Eva Onaindia;Eliseo Marzal
Affiliations:
-;-;-
Venue:
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Year:
2002

Citing 3
Cited 0

Fast planning through planning graph analysis

Artificial Intelligence
STeLLa: An Optimal Sequential and Parallel Planner

EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving
The automatic inference of state invariants in TIM

Journal of Artificial Intelligence Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the last few years, AI planning techniques have experimented a great advance. One of the reasons for this big expansion is the International Planning Competition (IPC), which enforces the definition of language standards as PDDL+ and new benchmarks. In this paper, we present the new features of STeLLa, a planner that participated in the last IPC, held in Toulouse last April. STeLLa is a forward search planner that builds intermediate goals to ease the resolution of the planning problem.