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» A Framework for Reinforcement Learning on Real Robots
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IROS
2009
IEEE
154views Robotics» more  IROS 2009»
14 years 2 months ago
Consideration on robotic giant-swing motion generated by reinforcement learning
—This study attempts to make a compact humanoid robot acquire a giant-swing motion without any robotic models by using reinforcement learning; only the interaction with environme...
Masayuki Hara, Naoto Kawabe, Naoki Sakai, Jian Hua...
ECAL
2007
Springer
14 years 1 months ago
Guided Self-organisation for Autonomous Robot Development
Abstract. The paper presents a method to guide the self-organised development of behaviours of autonomous robots. In earlier publications we demonstrated how to use the homeokinesi...
Georg Martius, J. Michael Herrmann, Ralf Der
IJRR
2008
151views more  IJRR 2008»
13 years 7 months ago
Trajectory Optimization using Reinforcement Learning for Map Exploration
Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
Thomas Kollar, Nicholas Roy
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
14 years 2 months ago
Learning motor primitives for robotics
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
Jens Kober, Jan Peters
CIRA
2007
IEEE
148views Robotics» more  CIRA 2007»
14 years 1 months ago
Reinforcement Learning with a Supervisor for a Mobile Robot in a Real-world Environment
– This paper describes two experiments with supervised reinforcement learning (RL) on a real, mobile robot. Two types of experiments were preformed. One tests the robot’s relia...
Karla Conn, Richard Alan Peters II