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» Using Prior Knowledge: Problems and Solutions
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LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 5 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
110
Voted
CE
2007
122views more  CE 2007»
14 years 11 months ago
Employing virtual humans for education and training in X3D/VRML worlds
Web-based education and training provides a new paradigm for imparting knowledge; students can access the learning material anytime by operating remotely from any location. Web3D ...
Lucio Ieronutti, Luca Chittaro
105
Voted
ATAL
2011
Springer
13 years 11 months ago
Learning action models for multi-agent planning
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
Hankz Hankui Zhuo, Hector Muñoz-Avila, Qian...
PODC
2003
ACM
15 years 4 months ago
Performing work with asynchronous processors: message-delay-sensitive bounds
This paper considers the problem of performing tasks in asynchronous distributed settings. This problem, called DoAll, has been substantially studied in synchronous models, but th...
Dariusz R. Kowalski, Alexander A. Shvartsman
SAIG
2000
Springer
15 years 3 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...