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NIPS
1998
13 years 9 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
ICML
2006
IEEE
14 years 8 months ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
ICML
1999
IEEE
14 years 8 months ago
Using Reinforcement Learning to Spider the Web Efficiently
Consider the task of exploring the Web in order to find pages of a particular kind or on a particular topic. This task arises in the construction of search engines and Web knowled...
Jason Rennie, Andrew McCallum
ICALT
2007
IEEE
14 years 2 months ago
Impact of Process Goal and Outcome Goal on Learning Performance for Web-based Learners
The purpose of this research is to develop a webbased learning environment where teachers can provide subject content using SCORM Simple Sequence Specification (SSS) mechanism wit...
Nian-Shing Chen, Kinshuk, Chun-Wang Wei, Feng-Hsie...
BCSHCI
2009
13 years 8 months ago
Paper-based concept map: the effects of tabletop on an expressive collaborative learning task
Augmented tabletops have recently attracted considerable attention in the literature. However, little has been known about the effects that these interfaces have on learning tasks...
Son Do-Lenh, Frédéric Kaplan, Pierre...