1704 search results - page 156 / 341 » Learning nonlinear dynamic models |
114
Voted
ICRA
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract— Many robotic control tasks involve complex dynamics that are hard to model. Hand-specifying trajectories that satisfy a system’s dynamics can be very time-consuming a...
132
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
141
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AAI
2005
15 years 3 months ago
2005
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...
143
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JMLR
2012
13 years 5 months ago
2012
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
109
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...