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AIIA
2005
Springer
14 years 2 months ago
Anchoring by Imitation Learning in Conceptual Spaces
Abstract. In order to have a robotic system able to effectively learn by imitation, and not merely reproduce the movements of a human teacher, the system should have the capabiliti...
Antonio Chella, Haris Dindo, Ignazio Infantino
TSMC
2008
117views more  TSMC 2008»
13 years 7 months ago
Discovery of High-Level Behavior From Observation of Human Performance in a Strategic Game
This paper explores the issues faced in creating a sys-4 tem that can learn tactical human behavior merely by observing5 a human perform the behavior in a simulation. More specific...
Brian S. Stensrud, Avelino J. Gonzalez
JMM2
2006
218views more  JMM2 2006»
13 years 8 months ago
Automatic Recognition of Facial Actions in Spontaneous Expressions
Spontaneous facial expressions differ from posed expressions in both which muscles are moved, and in the dynamics of the movement. Advances in the field of automatic facial express...
Marian Stewart Bartlett, Gwen Littlewort, Mark G. ...
ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
13 years 7 months ago
Predictive State Representations for grounding human-robot communication
— Allowing robots to communicate naturally with humans is a major goal for social robotics. Most approaches have focused on building high-level probabilistic cognitive models. Ho...
Eric Meisner, Sanmay Das, Volkan Isler, Jeff Trink...
ICML
2004
IEEE
14 years 9 months ago
Learning to fly by combining reinforcement learning with behavioural cloning
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
Eduardo F. Morales, Claude Sammut