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NIPS
1998
13 years 8 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
ISI
2006
Springer
13 years 7 months ago
Database Security Protection Via Inference Detection
Access control mechanisms are commonly used to provide control over who may access sensitive information. However, malicious users can exploit the correlation among the data and in...
Yu Chen, Wesley W. Chu
CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
13 years 2 months ago
Online Convex Programming and regularization in adaptive control
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
Maxim Raginsky, Alexander Rakhlin, Serdar Yük...
JDCTA
2008
119views more  JDCTA 2008»
13 years 7 months ago
Fuzzy MCDM approach for addressing composite index of water and air pollution potential of industries
Urbanization and industrialization with minimal focus on environmental pollution has resulted in rapid degradation of natural environment. A fresh look at the pollution control st...
Robin A. Christian, Ravindra K. Lad, Ashok W. Desh...
PODC
1994
ACM
13 years 11 months ago
A Performance Evaluation of Lock-Free Synchronization Protocols
In this paper, we investigate the practical performance of lock-free techniques that provide synchronization on shared-memory multiprocessors. Our goal is to provide a technique t...
Anthony LaMarca