97 search results - page 6 / 20 » Herding dynamical weights to learn |
104
Voted
ATAL
2008
Springer
15 years 3 months ago
2008
Springer
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
103
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ESANN
2008
15 years 3 months ago
2008
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
113
Voted
ML
1998
ACM
15 years 1 months ago
1998
ACM
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
115
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WWW
2005
ACM
16 years 2 months ago
2005
ACM
We present a browser extension to dynamically learn to filter unwanted images (such as advertisements or flashy graphics) based on minimal user feedback. To do so, we apply the we...
INFOCOM
2010
IEEE
15 years 9 days ago
2010
IEEE
Abstract—We consider multiuser scheduling in wireless networks with channel variations and flow-level dynamics. Recently, it has been shown that the MaxWeight algorithm, which i...