1325 search results - page 62 / 265 » Algorithm Selection using Reinforcement Learning |
115
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EUSFLAT
2007
15 years 4 months ago
2007
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
139
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
128
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
137
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NIPS
2003
15 years 4 months ago
2003
Recent research has demonstrated that useful POMDP solutions do not require consideration of the entire belief space. We extend this idea with the notion of temporal abstraction. ...
138
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ATAL
2009
Springer
15 years 10 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...