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IJCAI
2001
15 years 5 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
CORR
2010
Springer
57views Education» more  CORR 2010»
15 years 4 months ago
Optimal Control Strategies in Delayed Sharing Information Structures
The n-step delayed sharing information structure is investigated. This information structure comprises of K controllers that share their information with a delay of n time steps. ...
Ashutosh Nayyar, Aditya Mahajan, Demosthenis Tenek...
ICDCS
2002
IEEE
15 years 9 months ago
Query Optimization to Meet Performance Targets for Wide Area Applications
Recent technology advances have enabled mediated query processing with Internet accessible WebSources. A characteristic of WebSources is that their access costs exhibit transient ...
Vladimir Zadorozhny, Louiqa Raschid
136
Voted
WSC
2008
15 years 6 months ago
Data enhancement, smoothing, reconstruction and optimization by kriging interpolation
The performance of Kriging interpolation for enhancement, smoothing, reconstruction and optimization of a test data set is investigated. Specifically, the ordinary twodimensional ...
Hasan Gunes, Hakki Ergun Cekli, Ulrich Rist
FOCS
2000
IEEE
15 years 8 months ago
Optimization Problems in Congestion Control
One of the crucial elements in the Internet’s success is its ability to adequately control congestion. This paper defines and solves several optimization problems related to In...
Richard M. Karp, Elias Koutsoupias, Christos H. Pa...