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» Learning of Agents with Limited Resources
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ML
2008
ACM
13 years 7 months ago
Incremental exemplar learning schemes for classification on embedded devices
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
Ankur Jain, Daniel Nikovski
COLT
2010
Springer
13 years 5 months ago
Open Loop Optimistic Planning
We consider the problem of planning in a stochastic and discounted environment with a limited numerical budget. More precisely, we investigate strategies exploring the set of poss...
Sébastien Bubeck, Rémi Munos
AAAI
2008
13 years 10 months ago
ARMOR Security for Los Angeles International Airport
Security at major locations of economic or political importance is a key concern around the world, particularly given the threat of terrorism. Limited security resources prevent f...
James Pita, Manish Jain, Fernando Ordó&ntil...
ADAPTIVE
2007
Springer
14 years 2 months ago
User Profiles for Personalized Information Access
Abstract. The amount of information available online is increasing exponentially. While this information is a valuable resource, its sheer volume limits its value. Many research pr...
Susan Gauch, Mirco Speretta, Aravind Chandramouli,...
ATAL
2004
Springer
14 years 1 months ago
Decentralized Markov Decision Processes with Event-Driven Interactions
Decentralized MDPs provide a powerful formal framework for planning in multi-agent systems, but the complexity of the model limits its usefulness. We study in this paper a class o...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...