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NIPS
1994
15 years 8 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
WCE
2007
15 years 8 months ago
Image Enhancement Using Particle Swarm Optimization
Abstract—Applications of the Particle Swarm Optimization (PSO) to solve image processing problem with a reference to a new automatic enhancement technique based on real-coded par...
Malik Braik, Alaa F. Sheta, Aladdin Ayesh
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
15 years 8 months ago
Understanding elementary landscapes
The landscape formalism unites a finite candidate solution set to a neighborhood topology and an objective function. This construct can be used to model the behavior of local sea...
Darrell Whitley, Andrew M. Sutton, Adele E. Howe
169
Voted
AUTOMATICA
2006
183views more  AUTOMATICA 2006»
15 years 6 months ago
Bank management via stochastic optimal control
This paper examines a problem related to the optimal risk management of banks in a stochastic dynamic setting. In particular, we minimize7 market and capital adequacy risk that in...
Janine Mukuddem-Petersen, Mark Adam Petersen
167
Voted
EOR
2007
123views more  EOR 2007»
15 years 6 months ago
A stochastic model for risk management in global supply chain networks
With the increasing emphasis on supply chain vulnerabilities, effective mathematical tools for analyzing and understanding appropriate supply chain risk management are now attrac...
Mark Goh, Joseph Y. S. Lim, Fanwen Meng