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ICML
2005
IEEE
16 years 7 months ago
Reinforcement learning with Gaussian processes
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Yaakov Engel, Shie Mannor, Ron Meir
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
16 years 1 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
ICCS
2009
Springer
16 years 1 months ago
Semantic Search - Using Graph-Structured Semantic Models for Supporting the Search Process
Semantic search attempts to go beyond the current state of the art in information access by addressing information needs on the semantic level, i.e. considering the meaning of user...
Thanh Tran, Peter Haase, Rudi Studer
134
Voted
ICNS
2007
IEEE
16 years 1 months ago
Delay Components of Job Processing in a Grid: Statistical Analysis and Modeling
The existence of good probabilistic models for the job arrival process and the delay components introduced at the different stages of job processing in a Grid environment is impor...
Kostas Christodoulopoulos, Vasileios Gkamas, Emman...
I3E
2001
105views Business» more  I3E 2001»
15 years 8 months ago
XML-based Process Representation for e-Government Serviceflows
: Addressing new public challenges such as the one-stop government and improved service quality, we introduce serviceflow management as a generic concept to coordinate cross-organi...
Ralf Klischewski, Ingrid Wetzel