1325 search results - page 22 / 265 » Algorithm Selection using Reinforcement Learning |
133
Voted
CAEPIA
2011
Springer
14 years 2 months ago
2011
Springer
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
148
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ECML
2007
Springer
15 years 3 months ago
2007
Springer
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
121
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ICML
1998
IEEE
16 years 2 months ago
1998
IEEE
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
129
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
114
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IJAMCIGI
2010
14 years 11 months ago
2010
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...