1325 search results - page 66 / 265 » Algorithm Selection using Reinforcement Learning |
107
click to vote
GECCO
2000
Springer
15 years 6 months ago
2000
Springer
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
108
click to vote
IJHIS
2008
15 years 3 months ago
2008
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
107
click to vote
GECCO
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
137
click to vote
ATAL
2010
Springer
15 years 3 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
151
click to vote
MAGS
2010
14 years 10 months ago
2010
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...