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» Learning to Control in Operational Space
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AAI
2005
117views more  AAI 2005»
14 years 11 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...
80
Voted
NECO
2002
105views more  NECO 2002»
14 years 11 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
RAS
2010
106views more  RAS 2010»
14 years 10 months ago
A developmental algorithm for ocular-motor coordination
This paper presents a model of ocular-motor development, inspired by ideas and data from developmental psychology. The learning problem concerns the growth of the transform betwee...
F. Chao, M. H. Lee, J. J. Lee
AUTOMATICA
2000
67views more  AUTOMATICA 2000»
14 years 11 months ago
Stability analysis of learning feed-forward control
In this paper, a learning control system is considered for motion systems that are subject to two types of disturbances; reproducible disturbances, that re-occur each run in the s...
Wubbe J. R. Velthuis, Theo J. A. de Vries, Pieter ...
KI
2009
Springer
15 years 6 months ago
Machine Learning Techniques for Selforganizing Combustion Control
Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...
Erik Schaffernicht, Volker Stephan, Klaus Debes, H...