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» Using Stochastic Grammars to Learn Robotic Tasks
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EPIA
1995
Springer
13 years 8 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis
CIARP
2009
Springer
13 years 11 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
IROS
2006
IEEE
94views Robotics» more  IROS 2006»
13 years 11 months ago
Using Physical Demonstrations, Background Knowledge and Vocal Comments for Task Learning
Michael Pardowitz, Raoul Zöllner, Steffen Kno...
AI
2006
Springer
13 years 5 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
ETAI
2000
84views more  ETAI 2000»
13 years 4 months ago
Learning Stochastic Logic Programs
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
Stephen Muggleton