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NIPS
1993
15 years 7 months ago
Convergence of Stochastic Iterative Dynamic Programming Algorithms
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
175
Voted
NIPS
1996
15 years 7 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
140
Voted
SPRINGSIM
2007
15 years 7 months ago
Eve: a measurement-centric emulation environment for adaptive internet servers
Emulation plays a central role in the performance evaluation, capacity planning, and workload characterization of servers and data centers. Emulation tools usually require develop...
Hani Jamjoom, Chang-Hao Tsai, Kang G. Shin, Sharad...
170
Voted
DIMVA
2009
15 years 7 months ago
A Service Dependency Modeling Framework for Policy-Based Response Enforcement
The use of dynamic access control policies for threat response adapts local response decisions to high level system constraints. However, security policies are often carefully tigh...
Nizar Kheir, Hervé Debar, Fréd&eacut...
157
Voted
BMCBI
2010
86views more  BMCBI 2010»
15 years 6 months ago
A novel approach to simulate gene-environment interactions in complex diseases
Background: Complex diseases are multifactorial traits caused by both genetic and environmental factors. They represent the major part of human diseases and include those with lar...
Roberto Amato, Michele Pinelli, Daniel D'Andrea, G...