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ICML
2010
IEEE
13 years 8 months ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
ICMLA
2010
13 years 8 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
ICWL
2010
Springer
13 years 8 months ago
An Open Model for Learning Path Construction
Learning path construction is a complex task. It involves formulating and organizing learning activities, defining ways to evaluate student learning progress and to match such prog...
Fan Yang, Frederick W. B. Li, Rynson W. H. Lau
ELPUB
2007
ACM
14 years 2 months ago
Automatic Sentiment Analysis in On-line Text
The growing stream of content placed on the Web provides a huge collection of textual resources. People share their experiences on-line, ventilate their opinions (and frustrations...
Erik Boiy, Pieter Hens, Koen Deschacht, Marie-Fran...
ESEM
2007
ACM
14 years 2 months ago
A Critical Analysis of Empirical Research in Software Testing
In the foreseeable future, software testing will remain one of the best tools we have at our disposal to ensure software dependability. Empirical studies are crucial to software t...
Lionel C. Briand