582 search results - page 8 / 117 » Reinforcement learning with Gaussian processes |
111
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
84
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...
107
Voted
PKDD
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
110
Voted
NIPS
2007
15 years 2 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
98
Voted
ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...