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TROB
2008
210views more  TROB 2008»
14 years 11 months ago
Dynamical System Modulation for Robot Learning via Kinesthetic Demonstrations
We present a system for robust robot skill acquisition from kinesthetic demonstrations. This system allows a robot to learn a simple goal-directed gesture, and correctly reproduce...
Micha Hersch, Florent Guenter, Sylvain Calinon, Au...
RAS
2010
109views more  RAS 2010»
14 years 10 months ago
Combining active learning and reactive control for robot grasping
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
Oliver Krömer, Renaud Detry, Justus H. Piater...
HIS
2008
15 years 1 months ago
The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning
In order to produce robots which can interact more effectively with humans we propose that it is necessary for their cognitive processes to be grounded in the same perceptual elem...
Michael John Knowles, Stefan Wermter
ICML
1998
IEEE
16 years 17 days ago
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
Junling Hu, Michael P. Wellman
ECML
2007
Springer
15 years 3 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass