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» Gaussian Processes in Reinforcement Learning
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CE
2007
176views more  CE 2007»
13 years 9 months ago
Pedagogical approaches for technology-integrated science teaching
The two separate projects described have examined how teachers exploit computer-based technologies in supporting learning of science at secondary level. This paper examines how pe...
Sara Hennessy, Jocelyn Wishart, Denise Whitelock, ...
ATAL
2011
Springer
12 years 9 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
BMCBI
2010
152views more  BMCBI 2010»
13 years 9 months ago
Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis
Background: One of the challenges of bioinformatics remains the recognition of short signal sequences in genomic DNA such as donor or acceptor splice sites, splicing enhancers or ...
Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
14 years 1 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
JMLR
2006
124views more  JMLR 2006»
13 years 9 months ago
Policy Gradient in Continuous Time
Policy search is a method for approximately solving an optimal control problem by performing a parametric optimization search in a given class of parameterized policies. In order ...
Rémi Munos