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AIPS
2010
13 years 11 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
INFOCOM
2010
IEEE
13 years 6 months ago
Surfing the Blogosphere: Optimal Personalized Strategies for Searching the Web
We propose a distributed mechanism for finding websurfing strategies that is inspired by the StumbleUpon recommendation engine. Each day, a websurfer visits a sequence of websites ...
Stratis Ioannidis, Laurent Massoulié
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
14 years 14 days ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
SIGMETRICS
2004
ACM
115views Hardware» more  SIGMETRICS 2004»
14 years 2 months ago
Emulating low-priority transport at the application layer: a background transfer service
Low priority data transfer across the wide area is useful in several contexts, for example for the dissemination of large files such as OS updates, content distribution or prefet...
Peter B. Key, Laurent Massoulié, Bing Wang
WIOPT
2011
IEEE
13 years 14 days ago
Network utility maximization over partially observable Markovian channels
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
Chih-Ping Li, Michael J. Neely