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IROS
2007
IEEE
144views Robotics» more  IROS 2007»
14 years 3 months ago
Using reinforcement learning to adapt an imitation task
Abstract— The goal of developing algorithms for programming robots by demonstration is to create an easy way of programming robots that can be accomplished by everyone. When a de...
Florent Guenter, Aude Billard
ROBOCUP
1998
Springer
148views Robotics» more  ROBOCUP 1998»
14 years 28 days ago
The CMTrio-98 Sony-Legged Robot Team
Sony has provided a remarkable platform for research and development in robotic agents, namely fully autonomous legged robots. In this paper, we describe our work using Sony's...
Manuela M. Veloso, William T. B. Uther
AAAI
2006
13 years 10 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
ICRA
2007
IEEE
199views Robotics» more  ICRA 2007»
14 years 3 months ago
Automatic Outlier Detection: A Bayesian Approach
— In order to achieve reliable autonomous control in advanced robotic systems like entertainment robots, assistive robots, humanoid robots and autonomous vehicles, sensory data n...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
14 years 3 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...