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127
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ICML
1995
IEEE
16 years 3 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
110
Voted
RTSS
2000
IEEE
15 years 6 months ago
An Incremental Approach to Scheduling during Overloads in Real-Time Systems
In this paper we propose a novel scheduling framework for a real-timeenvironmentthat experiences dynamic changes. Thisframework is capable of adjusting the system workload in incr...
Pedro Mejía-Alvarez, Rami G. Melhem, Daniel...
SAC
2005
ACM
15 years 8 months ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
189
Voted
IWCLS
2007
Springer
15 years 8 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
141
Voted
CGO
2004
IEEE
15 years 6 months ago
A Dynamically Tuned Sorting Library
Empirical search is a strategy used during the installation of library generators such as ATLAS, FFTW, and SPIRAL to identify the algorithm or the version of an algorithm that del...
Xiaoming Li, María Jesús Garzar&aacu...