Planning with action prioritization and new benchmarks for classical planning

Authors:
Kamalesh Ghosh;Pallab Dasgupta;S. Ramesh
Affiliations:
Indian Institute of Technology Kharagpur, India, GM India Science Lab Bangalore, India;Indian Institute of Technology Kharagpur, India, GM India Science Lab Bangalore, India;Indian Institute of Technology Kharagpur, India, GM India Science Lab Bangalore, India
Venue:
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Year:
2012

Citing 4
Cited 0

Fast planning through planning graph analysis

Artificial Intelligence
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach
The FF planning system: fast plan generation through heuristic search

Journal of Artificial Intelligence Research
Long-distance mutual exclusion for propositional planning

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

We introduce a new class of planning problems in which there is a separate set of actions with higher priority than regular actions. We present new planning domains to show that problems of practical interest may easily fit in this framework. We argue that though this framework is quite succinctly encoded in classical planning itself, existing planners are disappointingly inept at solving them. To demonstrate this, we have built a wrapper tool for planners which uses ad-hoc techniques to give far better results. Therefore, we also propose our encoded domains as new challenges for general-purpose planners.