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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 1 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
CN
2007
168views more  CN 2007»
14 years 9 months ago
A MAC layer power management scheme for efficient energy delay tradeoff in a WLAN
— Energy efficient operation is of paramount importance for battery-powered wireless nodes. In an effort to conserve energy, standard protocols for WLANs have the provision for w...
Mahasweta Sarkar, Rene L. Cruz
CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 1 months ago
Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies
Wireless systems comprised of rechargeable nodes have a significantly prolonged lifetime and are sustainable. A distinct characteristic of these systems is the fact that the node...
Omur Ozel, Kaya Tutuncuoglu, Jing Yang, Sennur Ulu...
NN
2007
Springer
172views Neural Networks» more  NN 2007»
14 years 9 months ago
A computational neuroscience approach to consciousness
Simultaneous recordings from populations of neurons in the inferior temporal visual cortex show that most of the information about which stimulus was shown is available in the num...
Edmund T. Rolls
SASO
2007
IEEE
15 years 4 months ago
Leveraging Resource Prediction for Anticipatory Dynamic Configuration
Self-adapting systems based on multiple concurrent applications must decide how to allocate scarce resources to applications and how to set the quality parameters of each applicat...
Vahe Poladian, David Garlan, Mary Shaw, M. Satyana...