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» Dynamic Control of Genetic Algorithms in a Noisy Environment
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ML
1998
ACM
101views Machine Learning» more  ML 1998»
15 years 4 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
ICPP
2005
IEEE
15 years 10 months ago
Session-Based Adaptive Overload Control for Secure Dynamic Web Applications
As dynamic web content and security capabilities are becoming popular in current web sites, the performance demand on application servers that host the sites is increasing, leadin...
Jordi Guitart, David Carrera, Vicenç Beltra...
AUSAI
2006
Springer
15 years 8 months ago
Intelligent Control of Mobile Agent Based on Fuzzy Neural Network in Intelligent Robotic Space
This paper introduces Fuzzy Neural Network controller to increase the ability of a mobile robot in reacting to the dynamic environments. States of robot and environment, for exampl...
TaeSeok Jin, HongChul Kim, JangMyung Lee
CDC
2010
IEEE
124views Control Systems» more  CDC 2010»
14 years 11 months ago
Hybrid control for navigation of shape-accelerated underactuated balancing systems
This paper presents a hybrid control strategy for navigation of shape-accelerated underactuated balancing systems with dynamic constraints. It extends the concept of sequential com...
Umashankar Nagarajan, George Kantor, Ralph L. Holl...
CDC
2010
IEEE
14 years 11 months ago
Stochastic approximation for consensus with general time-varying weight matrices
This paper considers consensus problems with delayed noisy measurements, and stochastic approximation is used to achieve mean square consensus. For stochastic approximation based c...
Minyi Huang