1822 search results - page 219 / 365 » Risk-Sensitive Online Learning |
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— In this paper, we lay the groundwork for extending our previously developed ASyMTRe architecture to enable constructivist learning for multi-robot team tasks. The ASyMTRe archi...
IWANN
1999
Springer
14 years 9 days 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...
STOC
2005
ACM
14 years 8 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...
ISCA
2006
IEEE
14 years 2 months 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...
SBIA
2004
Springer
14 years 1 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...