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ICML
2010
IEEE
15 years 6 months ago
Nonparametric Return Distribution Approximation for Reinforcement Learning
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashim...
ASC
2008
15 years 5 months ago
Development of scheduling strategies with Genetic Fuzzy systems
This paper presents a methodology for automatically generating online scheduling strategies for a complex objective defined by a machine provider. To this end, we assume independe...
Carsten Franke, Frank Hoffmann, Joachim Lepping, U...
QSIC
2007
IEEE
15 years 11 months ago
Coping with API Evolution for Running, Mission-Critical Applications Using Virtual Execution Environment
Recent research showed that the majority of compatibility-breaking changes in a component-based, object-oriented software system are refactorings [5]. The software updating proces...
Bashar Gharaibeh, Tien N. Nguyen, J. Morris Chang
APN
1999
Springer
15 years 9 months ago
Parallel Approaches to the Numerical Transient Analysis of Stochastic Reward Nets
Abstract. This paper presents parallel approaches to the complete transient numerical analysis of stochastic reward nets (SRNs) for both shared and distributed-memory machines. Par...
Susann C. Allmaier, David Kreische
ML
2000
ACM
150views Machine Learning» more  ML 2000»
15 years 4 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew