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ICML
1995
IEEE
14 years 9 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III
HM
2010
Springer
146views Optimization» more  HM 2010»
13 years 9 months ago
An Improved Memetic Algorithm for Break Scheduling
In this paper we consider solving a complex real life break scheduling problem. This problem of high practical relevance arises in many working areas, e.g. in air traffic control a...
Magdalena Widl, Nysret Musliu
IJCAI
1997
13 years 10 months ago
A Learning System for Selective Dissemination of Information
New methods and new systems are needed to lter or to selectively distribute the increasing volume of electronic informationbeing produced nowadays. An e ective information ltering...
Gianni Amati, Fabio Crestani, Flavio Ubaldini
JCM
2007
105views more  JCM 2007»
13 years 9 months ago
Generalization Capabilities Enhancement of a Learning System by Fuzzy Space Clustering
Abstract— We have used measurements taken on real network to enhance the performance of our radio network planning tool. A distribution learning technique is adopted to realize t...
Zakaria Nouir, Berna Sayraç, Benoît F...
CEE
2007
107views more  CEE 2007»
13 years 9 months ago
A non-preemptive scheduling algorithm for soft real-time systems
Real-time systems are often designed using preemptive scheduling and worst-case execution time estimates to guarantee the execution of high priority tasks. There is, however, an i...
Wenming Li, Krishna M. Kavi, Robert Akl