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IJRR
2008
186views more  IJRR 2008»
13 years 8 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
PKDD
2000
Springer
108views Data Mining» more  PKDD 2000»
14 years 3 days ago
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
Christophe Druet, Damien Ernst, Louis Wehenkel
EUSFLAT
2001
144views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 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...
ICCS
2007
Springer
14 years 2 months ago
Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces
New architectures for Brain-Machine Interface communication and control use mixture models for expanding rehabilitation capabilities of disabled patients. Here we present and test ...
Jack DiGiovanna, Loris Marchal, Prapaporn Rattanat...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 3 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...