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AAAI
2004
13 years 6 months ago
Performance Bounded Reinforcement Learning in Strategic Interactions
Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeably lacking. T...
Bikramjit Banerjee, Jing Peng
AAMAS
2007
Springer
13 years 5 months ago
Generalized multiagent learning with performance bound
Abstract – Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeab...
Bikramjit Banerjee, Jing Peng
CORR
2011
Springer
245views Education» more  CORR 2011»
13 years 8 days ago
Joint Distributed Access Point Selection and Power Allocation in Cognitive Radio Networks
Spectrum management has been identified as a crucial step towards enabling the technology of the cognitive radio network (CRN). Most of the current works dealing with spectrum ma...
Mingyi Hong, Alfredo Garcia, Jorge Alviar
ATAL
2008
Springer
13 years 7 months ago
MB-AIM-FSI: a model based framework for exploiting gradient ascent multiagent learners in strategic interactions
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
Doran Chakraborty, Sandip Sen
INFOCOM
2003
IEEE
13 years 10 months ago
Sensor-Centric Quality of Routing in Sensor Networks
Abstract— Standard embeded sensor nework models emphasize energy efficiency and distributed decision-making by considering untethered and unattended sensors. To this we add two ...
Rajgopal Kannan, Sudipta Sarangi, S. Sitharama Iye...