1325 search results - page 116 / 265 » Algorithm Selection using Reinforcement Learning |
114
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
128
Voted
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
132
Voted
ATAL
2004
Springer
15 years 8 months ago
2004
Springer
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...
132
Voted
PE
2011
Springer
14 years 9 months ago
2011
Springer
An energy aware routing protocol (EARP) is proposed to minimise a performance metric that combines the total consumed power in the network and the QoS that is specified for the ...
105
Voted
FSS
2006
15 years 2 months ago
2006
Convergence of blind delayed source separation algorithms, which use constant learning rates, is known to be slow. We propose a fuzzy logic based approach to adaptively select the...