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» Policy Learning for Motor Skills
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ECML
1997
Springer
13 years 12 months ago
Ibots Learn Genuine Team Solutions
\Ibots" (Integrating roBOTS) is a computer experiment in group learning. It is designed to understand how to use reinforcement learning to program automatically a team of robo...
Cristina Versino, Luca Maria Gambardella
GECCO
2010
Springer
212views Optimization» more  GECCO 2010»
14 years 19 days ago
Generative and developmental systems
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
Kenneth O. Stanley
HAPTICS
2009
IEEE
14 years 2 months ago
Haptic stiffness identification by veterinarians and novices: A comparison
Palpation is important in both veterinary and medical health professions. It is however difficult to learn, teach and assess. More must be understood about the skills involved in ...
Neil Forrest, Sarah Baillie, Hong Z. Tan
MHCI
2009
Springer
14 years 2 months ago
A language of tactile motion instructions
Tactile motion instructions are vibrotactile feedback patterns delivered across the entire body that indicate how to move during physical activities. This work investigates the pe...
Daniel Spelmezan, Anke Hilgers, Jan O. Borchers
TROB
2010
159views more  TROB 2010»
13 years 2 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto