Sciweavers

146 search results - page 1 / 30
» Decentralized Reinforcement Learning Control of a Robotic Ma...
Sort
View
ICARCV
2006
IEEE
100views Robotics» more  ICARCV 2006»
13 years 10 months ago
Decentralized Reinforcement Learning Control of a Robotic Manipulator
— Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, etc. Learning approaches to multi-ag...
Lucian Busoniu, Bart De Schutter, Robert Babuska
JIRS
2010
120views more  JIRS 2010»
13 years 2 months ago
Designing Decentralized Controllers for Distributed-Air-Jet MEMS-Based Micromanipulators by Reinforcement Learning
Distributed-air-jet MEMS-based systems have been proposed to manipulate small parts with high velocities and without any friction problems. The control of such distributed systems ...
Laëtitia Matignon, Guillaume J. Laurent, Nadi...
EUSFLAT
2001
144views Fuzzy Logic» more  EUSFLAT 2001»
13 years 5 months ago
Adaptive torque control using a connectionist reinforcement learning agent
The correction of angular misalignment between mating components is a fundamental requirement for their successful assembly. In this paper we present how a learning agent based on...
Lorenzo Brignone, Martin Howarth, S. Sivayoganatha...
IROS
2007
IEEE
132views Robotics» more  IROS 2007»
13 years 10 months ago
Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
Laëtitia Matignon, Guillaume J. Laurent, Nadi...
TSMC
1998
126views more  TSMC 1998»
13 years 4 months ago
Decentralized adaptive fuzzy control of robot manipulators
—This paper develops a decentralized adaptive fuzzy control scheme for robot manipulators via a combination of genetic algorithm and gradient method. The controller for each link...
Yaochu Jin