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CVPR
2011
IEEE
13 years 3 months ago
Learning invariance through imitation
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
Graham Taylor, Ian Spiro, Rob Fergus, Christoph Br...
DAGSTUHL
2003
13 years 9 months ago
Towards Imitation Learning from a Viewpoint of an Internal Observer
How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a c...
Yuichiro Yoshikawa, Minoru Asada, Koh Hosoda
IJCAI
2003
13 years 9 months ago
Imitation Learning of Team-play in Multiagent System based on Hidden Markov Modeling
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
Itsuki Noda
CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 7 months ago
The Challenge of Believability in Video Games: Definitions, Agents Models and Imitation Learning
In this paper, we address the problem of creating believable agents (virtual characters) in video games. We consider only one meaning of believability, "giving the feeling of...
Fabien Tencé, Cédric Buche, Pierre D...
AAAI
2010
13 years 8 months ago
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models
In this paper a system was developed for robot behavior acquisition using kinesthetic demonstrations. It enables a humanoid robot to imitate constrained reaching gestures directed...
Kaushik Subramanian