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» Reinforcement Learning: An Introduction
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NIPS
2007
13 years 9 months ago
Stable Dual Dynamic Programming
Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
AGI
2008
13 years 9 months ago
Transfer Learning and Intelligence: an Argument and Approach
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone
ECCV
2006
Springer
14 years 10 months ago
Towards Optimal Training of Cascaded Detectors
Cascades of boosted ensembles have become popular in the object detection community following their highly successful introduction in the face detector of Viola and Jones [1]. In t...
S. Charles Brubaker, Matthew D. Mullin, James M. R...
SIGOPS
1998
378views more  SIGOPS 1998»
13 years 8 months ago
Introducing Empirical Investigation in Undergraduate Operating Systems
Abstract: The undergraduate operating systems course can provide students with a valuable introduction to empirical testing and experimentation. This paper announces the availabili...
Steven Robbins
IJCNN
2008
IEEE
14 years 2 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...