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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
14 years 4 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
MASCOTS
2003
13 years 11 months ago
Bottleneck Estimation for Load Control Gateways
Providing Quality of Service (QoS) to inelastic data transmissions in a cost-efficient, highly scalable, and realistic fashion in IP networks remains a challenging research issue....
Krishna Pandit, Jens Schmitt, Martin Karsten, Ralf...
GLOBECOM
2009
IEEE
14 years 1 months ago
Collision-Free Asynchronous Multi-Channel Access in Ad Hoc Networks
Abstract—In this paper, we present a collision-free asynchronous multi-channel access protocol for Ad Hoc wireless networks using a single transceiver. Our protocol, dubbed AMMAC...
Duy Nguyen, J. J. Garcia-Luna-Aceves, Katia Obracz...
JDCTA
2010
155views more  JDCTA 2010»
13 years 4 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao
CDC
2008
IEEE
197views Control Systems» more  CDC 2008»
14 years 4 months ago
Dynamic spectrum access policies for cognitive radio
—We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooper...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli