3718 search results - page 233 / 744 » On learning with dissimilarity functions |
210
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CORR
2010
Springer
15 years 5 months ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
162
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CRYPTO
2009
Springer
16 years 1 months ago
2009
Springer
The well-studied task of learning a linear function with errors is a seemingly hard problem and the basis for several cryptographic schemes. Here we demonstrate additional applicat...
154
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NPL
2006
15 years 6 months ago
2006
We show that under reasonable conditions, online learning for a nonlinear function near a local minimum is similar to a multivariate Ornstein Uhlenbeck process. This implies that ...
239
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AI
1998
Springer
15 years 6 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
215
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IJCNN
2007
IEEE
16 years 27 days ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...