3837 search results - page 214 / 768 » Learning Approximate Consistencies |
187
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NPL
1998
15 years 6 months ago
1998
Adaptive artificial neural network techniques are introduced and applied to the factorization of 2-D second order polynomials. The proposed neural network is trained using a const...
224
Voted
TSMC
2008
15 years 5 months ago
2008
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
167
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JMLR
2010
15 years 1 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
166
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JMLR
2010
15 years 1 months ago
2010
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...
194
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ROBOCUP
2007
Springer
16 years 1 months ago
2007
Springer
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...