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» Policy Gradient Methods for Robotics
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ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
13 years 6 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
ICRA
2007
IEEE
134views Robotics» more  ICRA 2007»
14 years 2 months ago
Grasping POMDPs
Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set of regions that are closed under complia...
Kaijen Hsiao, Leslie Pack Kaelbling, Tomás ...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
14 years 2 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...
EUROGP
2005
Springer
122views Optimization» more  EUROGP 2005»
14 years 1 months ago
Evolution of Robot Controller Using Cartesian Genetic Programming
Abstract. Cartesian Genetic Programming is a graph based representation that has many benefits over traditional tree based methods, including bloat free evolution and faster evolu...
Simon Harding, Julian F. Miller
ROBOCUP
2004
Springer
75views Robotics» more  ROBOCUP 2004»
14 years 1 months ago
Interpolation Methods for Global Vision Systems
In 2004, the playing field size of the small sized league was significantly increased, posing new challenges for all teams. This paper describes extensions to our current video s...
Jacky Baltes, John Anderson