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» Learning of Agents with Limited Resources
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ML
2008
ACM
15 years 6 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
15 years 4 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
15 years 9 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
16 years 27 days 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
16 years 3 days 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...