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» Continuous-Time Hierarchical Reinforcement Learning
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CORR
2010
Springer
183views Education» more  CORR 2010»
13 years 8 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn
SARA
2005
Springer
14 years 3 months ago
The Cruncher: Automatic Concept Formation Using Minimum Description Length
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...
Marc Pickett, Tim Oates
AR
2008
118views more  AR 2008»
13 years 10 months ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada
AAAI
1994
13 years 11 months ago
Hierarchical Chunking in Classifier Systems
Two standard schemes for learning in classifier systems have been proposed in the literature: the bucket brigade algorithm (BBA) and the profit sharing plan (PSP). The BBA is a lo...
Gerhard Weiß
SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
14 years 4 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood