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87
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ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 4 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
BMCBI
2008
113views more  BMCBI 2008»
14 years 9 months ago
Investigating selection on viruses: a statistical alignment approach
Background: Two problems complicate the study of selection in viral genomes: Firstly, the presence of genes in overlapping reading frames implies that selection in one reading fra...
Saskia de Groot, Thomas Mailund, Gerton Lunter, Jo...
ICCBR
2005
Springer
15 years 3 months ago
Selecting the Best Units in a Fleet: Performance Prediction from Equipment Peers
We focus on the problem of selecting the few vehicles in a fleet that are expected to last the longest without failure. The prediction of each vehicle’s remaining life is based o...
Anil Varma, Kareem S. Aggour, Piero P. Bonissone
68
Voted
CIA
2003
Springer
15 years 2 months ago
A Peer-to-Peer Approach to Resource Discovery in Multi-agent Systems
A multi-agent system is a network of software agents that cooperate to solve problems. In open multi-agent systems, the agents that need resources provided by other agents are not ...
Vassilios V. Dimakopoulos, Evaggelia Pitoura
87
Voted
WSC
1997
14 years 11 months ago
New Development of Optimal Computing Budget Allocation for Discrete Event Simulation
This paper deals with ranking and selection problem via simulation. We present an optimal computing budget allocation technique which can select the best of k simulated designs. T...
Hsiao-Chang Chen, Chun-Hung Chen, Liyi Dai, Enver ...