2103 search results - page 46 / 421 » Approximate Learning of Dynamic Models |
142
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AUTOMATICA
2008
15 years 2 months ago
2008
Control systems are usually modeled by differential equations describing how physical phenomena can be influenced by certain control parameters or inputs. Although these models ar...
124
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IJCNN
2008
IEEE
15 years 8 months ago
2008
IEEE
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
109
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ATAL
2009
Springer
15 years 8 months ago
2009
Springer
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
141
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CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
116
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CDC
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...