1974 search results - page 238 / 395 » Online learning in online auctions |
176
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IWANN
1999
Springer
15 years 11 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
202
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STOC
2005
ACM
16 years 7 months ago
2005
ACM
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
160
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ISCA
2006
IEEE
16 years 19 days ago
2006
IEEE
The key to high performance in Simultaneous Multithreaded (SMT) processors lies in optimizing the distribution of shared resources to active threads. Existing resource distributio...
166
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SBIA
2004
Springer
15 years 12 months ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
193
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NIPS
1996
15 years 8 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...