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» Using reinforcement learning to adapt an imitation task
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COST
2009
Springer
185views Multimedia» more  COST 2009»
13 years 5 months ago
How an Agent Can Detect and Use Synchrony Parameter of Its Own Interaction with a Human?
Synchrony is claimed by psychology as a crucial parameter of any social interaction: to give to human a feeling of natural interaction, a feeling of agency [17], an agent must be a...
Ken Prepin, Philippe Gaussier
ICMLA
2003
13 years 9 months ago
Reinforcement Learning Task Clustering
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
ATAL
2008
Springer
13 years 9 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
14 years 1 months ago
Affordance-based imitation learning in robots
— In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot h...
Manuel Lopes, Francisco S. Melo, Luis Montesano
IJCAI
2007
13 years 9 months ago
Learning to Count by Think Aloud Imitation
Although necessary, learning to discover new solutions is often long and difficult, even for supposedly simple tasks such as counting. On the other hand, learning by imitation pr...
Laurent Orseau