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» Learning Obstacle Avoidance with an Operant Behavior Model
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NN
2000
Springer
148views Neural Networks» more  NN 2000»
13 years 7 months ago
Anxiety-like behavior in rats: a computational model
This work describes a neural network model of the rat exploratory behavior in the elevated plus-maze, a test used to study anxiety. It involves three parameters: drive to explore;...
Cristiane Salum, Silvio Morato, Antônio C. R...
ICANN
2003
Springer
14 years 19 days ago
Meta-learning for Fast Incremental Learning
Model based learning systems usually face to a problem of forgetting as a result of the incremental learning of new instances. Normally, the systems have to re-learn past instances...
Takayuki Oohira, Koichiro Yamauchi, Takashi Omori
SIGSOFT
2009
ACM
14 years 8 months ago
Automatic steering of behavioral model inference
Many testing and analysis techniques use finite state models to validate and verify the quality of software systems. Since the specification of such models is complex and timecons...
David Lo, Leonardo Mariani, Mauro Pezzè
IROS
2008
IEEE
203views Robotics» more  IROS 2008»
14 years 1 months ago
Learning equivalent action choices from demonstration
Abstract— In their interactions with the world robots inevitably face equivalent action choices, situations in which multiple actions are equivalently applicable. In this paper, ...
Sonia Chernova, Manuela M. Veloso
ROMAN
2007
IEEE
173views Robotics» more  ROMAN 2007»
14 years 1 months ago
Human-Robot Interactions as a Cognitive Catalyst for the Learning of Behavioral Attractors
— We address in this paper the problem of the autonomous online learning of a sensory-motor task, demonstrated by an operator guiding the robot. For the last decade, we have deve...
Christophe Giovannangeli, Philippe Gaussier