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2007
176views Robotics» more  RSS 2007»
13 years 11 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
ECIS
2000
13 years 11 months ago
Metadata-Based Integration of Qualitative and Quantitative Information Resources Approaching Knowledge Management
This paper presents a concept for the integration of quantitative and qualitative information sources with their accompanying management support functionalities from navigation and...
Bodo Rieger, Anja Kleber, Eitel von Maur
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 10 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
JMLR
2008
129views more  JMLR 2008»
13 years 9 months ago
Finite-Time Bounds for Fitted Value Iteration
In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
Rémi Munos, Csaba Szepesvári
BMCBI
2005
100views more  BMCBI 2005»
13 years 9 months ago
Speeding disease gene discovery by sequence based candidate prioritization
Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...