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» Reducing policy degradation in neuro-dynamic programming
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ESANN
2006
14 years 7 days ago
Reducing policy degradation in neuro-dynamic programming
We focus on neuro-dynamic programming methods to learn state-action value functions and outline some of the inherent problems to be faced, when performing reinforcement learning in...
Thomas Gabel, Martin Riedmiller
INFOCOM
2008
IEEE
14 years 5 months ago
Firewall Compressor: An Algorithm for Minimizing Firewall Policies
—A firewall is a security guard placed between a private network and the outside Internet that monitors all incoming and outgoing packets. The function of a firewall is to exam...
Alex X. Liu, Eric Torng, Chad R. Meiners
TVLSI
2008
107views more  TVLSI 2008»
13 years 10 months ago
Static and Dynamic Temperature-Aware Scheduling for Multiprocessor SoCs
Thermal hot spots and high temperature gradients degrade reliability and performance, and increase cooling costs and leakage power. In this paper, we explore the benefits of temper...
Ayse Kivilcim Coskun, T. T. Rosing, Keith Whisnant...
IEEEPACT
2009
IEEE
14 years 5 months ago
Soft-OLP: Improving Hardware Cache Performance through Software-Controlled Object-Level Partitioning
—Performance degradation of memory-intensive programs caused by the LRU policy’s inability to handle weaklocality data accesses in the last level cache is increasingly serious ...
Qingda Lu, Jiang Lin, Xiaoning Ding, Zhao Zhang, X...
ASPLOS
2011
ACM
13 years 2 months ago
MemScale: active low-power modes for main memory
Main memory is responsible for a large and increasing fraction of the energy consumed by servers. Prior work has focused on exploiting DRAM low-power states to conserve energy. Ho...
Qingyuan Deng, David Meisner, Luiz E. Ramos, Thoma...