582 search results - page 53 / 117 » Reinforcement learning with Gaussian processes |
144
Voted
NIPS
2001
15 years 5 months ago
2001
We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. A...
173
Voted
DAGM
2011
Springer
14 years 3 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
128
Voted
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
153
Voted
AIMSA
2006
Springer
15 years 7 months ago
2006
Springer
Although speech and language processing techniques achieved a relative maturity during the last decade, designing a spoken dialogue system is still a tailoring task because of the ...
143
Voted
DAGM
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...