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IROS
2006
IEEE
113views Robotics» more  IROS 2006»
14 years 2 months ago
Policy Gradient Methods for Robotics
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
Jan Peters, Stefan Schaal
SOCROB
2010
126views Robotics» more  SOCROB 2010»
13 years 7 months ago
Using the Interaction Rhythm as a Natural Reinforcement Signal for Social Robots: A Matter of Belief
Abstract. In this paper, we present the results of a pilot study of a human robot interaction experiment where the rhythm of the interaction is used as a reinforcement signal to le...
Antoine Hiolle, Lola Cañamero, Pierre Andry...
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
14 years 3 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
ICRA
2002
IEEE
133views Robotics» more  ICRA 2002»
14 years 1 months ago
The Necessity of Average Rewards in Cooperative Multirobot Learning
Learning can be an effective way for robot systems to deal with dynamic environments and changing task conditions. However, popular singlerobot learning algorithms based on discou...
Poj Tangamchit, John M. Dolan, Pradeep K. Khosla
ICML
2007
IEEE
14 years 9 months ago
Reinforcement learning by reward-weighted regression for operational space control
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Jan Peters, Stefan Schaal