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» Converging on the Optimal Attainment of Requirements
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NIPS
2003
13 years 9 months ago
Extending Q-Learning to General Adaptive Multi-Agent Systems
Recent multi-agent extensions of Q-Learning require knowledge of other agents’ payoffs and Q-functions, and assume game-theoretic play at all times by all other agents. This pap...
Gerald Tesauro
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 9 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
SCL
2010
137views more  SCL 2010»
13 years 6 months ago
Cooperative distributed model predictive control
— Cooperative distributed model predictive control has recently been shown to provide stabilizing feedback for plants composed of any finite number of dynamically coupled subsys...
Brett T. Stewart, Aswin N. Venkat, James B. Rawlin...
DAC
2003
ACM
14 years 8 months ago
A cost-driven lithographic correction methodology based on off-the-shelf sizing tools
As minimum feature sizes continue to shrink, patterned features have become significantly smaller than the wavelength of light used in optical lithography. As a result, the requir...
Puneet Gupta, Andrew B. Kahng, Dennis Sylvester, J...
QSHINE
2005
IEEE
14 years 1 months ago
Retransmission Strategies for Wireless Connections with Resource-Limited Devices
Protocols designed to provide error-free communications over lossy links, at both data link and transport layers, commonly employ the idea of sliding windows, which is based on th...
Lavy Libman