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COLT
1994
Springer
15 years 8 months ago
Efficient Reinforcement Learning
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
Claude-Nicolas Fiechter
MC
2008
137views Computer Science» more  MC 2008»
15 years 5 months ago
Between 'Instructions' and 'Diy': Tagging in Learning Communities
In this paper, we discuss the novel technology tagging and the results of analyzing a learning community in a popular system that relies on tagging namely YouTube. We present our ...
Milena Reichel, Heidi Schelhowe
COLING
2010
14 years 11 months ago
Bringing Active Learning to Life
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
Ines Rehbein, Josef Ruppenhofer, Alexis Palmer
JKM
2006
135views more  JKM 2006»
15 years 3 months ago
Learning from the Mars Rover Mission: scientific discovery, learning and memory
Purpose Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in ...
Charlotte Linde
137
Voted
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 10 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...