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AAAI
2004
8 years 11 months ago
Distance Estimates for Planning in the Discrete Belief Space
We present a general framework for studying heuristics for planning in the belief space. Earlier work has focused on giving implementations of heuristics that work well on benchma...
Jussi Rintanen
ISCAPDCS
2007
8 years 11 months ago
A rapid heuristic for scheduling non-preemptive dependent periodic tasks onto multiprocessor
We address distributed real-time applications represented by systems of non-preemptive dependent periodic tasks. This system is described by an acyclic directed graph. Because the...
Omar Kermia, Yves Sorel
IJCAI
2007
8 years 11 months ago
Using Learned Policies in Heuristic-Search Planning
Many current state-of-the-art planners rely on forward heuristic search. The success of such search typically depends on heuristic distance-to-the-goal estimates derived from the ...
Sung Wook Yoon, Alan Fern, Robert Givan
ALENEX
2008
142views Algorithms» more  ALENEX 2008»
8 years 11 months ago
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Andrey Goder, Vladimir Filkov
AAAI
2010
8 years 11 months ago
Searching Without a Heuristic: Efficient Use of Abstraction
g Without a Heuristic: Efficient Use of Abstraction Bradford Larsen, Ethan Burns, Wheeler Ruml Department of Computer Science University of New Hampshire Durham, NH 03824 USA blars...
Bradford John Larsen, Ethan Burns, Wheeler Ruml, R...
ECAI
2008
Springer
8 years 12 months ago
Heuristics for Planning with Action Costs Revisited
We introduce a simple variation of the additive heuristic used in the HSP planner that combines the benefits of the original additive heuristic, namely its mathematical formulation...
Emil Keyder, Hector Geffner
CSCLP
2005
Springer
9 years 3 days ago
Analysis of Heuristic Synergies
“Heuristic synergy” refers to improvements in search performance when the decisions made by two or more heuristics are combined. This paper considers combinations based on prod...
Richard J. Wallace
FLAIRS
2007
9 years 14 days ago
Applying Heuristic Evaluation to Human-Robot Interaction Systems
Though attention to evaluating human-robot interfaces has increased in recent years, there are relatively few reports of using evaluation tools during the development of humanrobo...
Edward Clarkson, Ronald C. Arkin
FLAIRS
2007
9 years 14 days ago
Case-Based Recommendation of Node Ordering in Planning
Currently, among the fastest approaches to AI task planning we find many forward-chaining heuristic planners, as FF. Most of their good performance comes from the use of domain-i...
Tomás de la Rosa, Angel García Olaya...
AIPS
2008
9 years 14 days ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
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