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ATAL
2010
Springer
13 years 9 months ago
Risk-sensitive planning in partially observable environments
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Janusz Marecki, Pradeep Varakantham
WWW
2011
ACM
13 years 3 months ago
Survivability-oriented self-tuning of web systems
Running in a highly uncertain and changing environment, Web systems cannot always provide full set of services with optimal quality, especially when the workload is high or failur...
Bihuan Chen, Xin Peng, Yijun Yu, Wenyun Zhao
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
14 years 3 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
ALDT
2011
Springer
200views Algorithms» more  ALDT 2011»
12 years 8 months ago
Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs
A variety of preference aggregation schemes and voting rules have been developed in social choice to support group decision making. However, the requirement that participants provi...
Tyler Lu, Craig Boutilier
ATAL
2009
Springer
14 years 3 months ago
Decentralised coordination of continuously valued control parameters using the max-sum algorithm
In this paper we address the problem of decentralised coordination for agents that must make coordinated decisions over continuously valued control parameters (as is required in m...
Ruben Stranders, Alessandro Farinelli, Alex Rogers...