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» Using Stochastic Grammars to Learn Robotic Tasks
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ECML
2004
Springer
15 years 6 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
AROBOTS
2002
102views more  AROBOTS 2002»
15 years 1 months ago
Recognition of Affective Communicative Intent in Robot-Directed Speech
Human speech provides a natural and intuitive interface for both communicating with humanoid robots as well as for teaching them. In general, the acoustic pattern of speech contain...
Cynthia Breazeal, Lijin Aryananda
AAAI
2010
15 years 1 months ago
Biped Walk Learning Through Playback and Corrective Demonstration
Developing a robust, flexible, closed-loop walking algorithm for a humanoid robot is a challenging task due to the complex dynamics of the general biped walk. Common analytical ap...
Çetin Meriçli, Manuela M. Veloso
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 7 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
IBERAMIA
2010
Springer
14 years 12 months ago
Dynamic Reward Shaping: Training a Robot by Voice
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
Ana C. Tenorio-Gonzalez, Eduardo F. Morales, Luis ...