1325 search results - page 49 / 265 » Algorithm Selection using Reinforcement Learning |
104
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NIPS
1994
15 years 3 months ago
1994
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
105
Voted
CEC
2007
IEEE
15 years 8 months ago
2007
IEEE
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
109
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
97
Voted
AAAI
2008
15 years 4 months ago
2008
Proactive assessment of computer-network vulnerability to unknown future attacks is an important but unsolved computer security problem where AI techniques have significant impact...
221
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IIS
2004
15 years 3 months ago
2004
Learning algorithms, as NN or C4.5 require adequate sets of examples. In the paper we present the usability of genetic algorithms for selection significant features. Fitness of ind...