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FLAIRS
2003
13 years 6 months ago
Cost-Based Policy Mapping for Imitation
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
Srichandan V. Gudla, Manfred Huber
ICRA
2005
IEEE
106views Robotics» more  ICRA 2005»
13 years 10 months ago
Goal-Directed Imitation in a Humanoid Robot
Abstract— Our work aims at developing a robust discriminant controller for robot programming by demonstration. It addresses two core issues of imitation learning, namely “what to...
Sylvain Calinon, Florent Guenter, Aude Billard
RAS
2010
109views more  RAS 2010»
13 years 3 months ago
Combining active learning and reactive control for robot grasping
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
Oliver Krömer, Renaud Detry, Justus H. Piater...
IJCAI
2003
13 years 6 months ago
A Bayesian Approach to Imitation in Reinforcement Learning
In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement lear...
Bob Price, Craig Boutilier
TSMC
2002
128views more  TSMC 2002»
13 years 4 months ago
Imitation with ALICE: learning to imitate corresponding actions across dissimilar embodiments
Imitation is a powerful mechanism whereby knowledge may be transferred between agents (both biological and artificial). Key problems on the topic of imitation have emerged in vario...
Aris Alissandrakis, Chrystopher L. Nehaniv, Kersti...