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» Iterative Learning Control - Monotonicity and Optimization
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ML
1998
ACM
101views Machine Learning» more  ML 1998»
14 years 9 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
PET
2005
Springer
15 years 3 months ago
An Analysis of Parallel Mixing with Attacker-Controlled Inputs
Parallel mixing [7] is a technique for optimizing the latency of a synchronous re-encryption mix network. We analyze the anonymity of this technique when an adversary can learn the...
Nikita Borisov
JSAC
2006
88views more  JSAC 2006»
14 years 9 months ago
OSNR optimization in optical networks: modeling and distributed algorithms via a central cost approach
Abstract-- This paper addresses the problem of optical signalto-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general mul...
L. Pavel
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
15 years 2 months ago
Kernel regression for travel time estimation via convex optimization
—We develop an algorithm aimed at estimating travel time on segments of a road network using a convex optimization framework. Sampled travel time from probe vehicles are assumed ...
Sebastien Blandin, Laurent El Ghaoui, Alexandre M....
KDD
1995
ACM
98views Data Mining» more  KDD 1995»
15 years 1 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher