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» Optimal Control in Large Stochastic Multi-agent Systems
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GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
14 years 10 days ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...
ICDCS
2008
IEEE
14 years 2 months ago
PFC: Transparent Optimization of Existing Prefetching Strategies for Multi-Level Storage Systems
The multi-level storage architecture has been widely adopted in servers and data centers. However, while prefetching has been shown as a crucial technique to exploit the sequentia...
Zhe Zhang, Kyuhyung Lee, Xiaosong Ma, Yuanyuan Zho...
GECCO
2004
Springer
183views Optimization» more  GECCO 2004»
14 years 1 months ago
A Novel Immune Feedback Control Algorithm and Its Applications
This paper first analyzes the feedback principle of nature immune system and then the immune process is imitated by virtue of nonlinear molecular dynamics. Then the mathematic mode...
Zhen-qiang Qi, Shen-min Song, Zhao-hua Yang, Guang...
NIPS
2001
13 years 9 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
HICSS
2003
IEEE
151views Biometrics» more  HICSS 2003»
14 years 1 months ago
A Simple GSPN for Modeling Common Mode Failures in Critical Infrastructures
It is now apparent that our nation’s infrastructures and essential utilities have been optimized for reliability in benign operating environments. As such, they are susceptible ...
Axel W. Krings, Paul W. Oman