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NIPS
1996
15 years 1 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
NIPS
2007
15 years 1 months ago
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...
Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O....
106
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HASE
2007
IEEE
15 years 6 months ago
A Fault Taxonomy for Service-Oriented Architecture
—Service-Oriented Architecture (SOA) is a popular design paradigm for distributed systems today. Its dynamics and loose coupling are predestined for self-adaptive systems. This a...
Stefan Brüning, Stephan Weißleder, Miro...
RECSYS
2009
ACM
15 years 6 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
CDC
2009
IEEE
131views Control Systems» more  CDC 2009»
15 years 4 months ago
Further results on plant parameter identification using continuous-time multiple-model adaptive estimators
This paper describes a deterministic approach to adaptive state and parameter estimation using a multiple model structure. In the set-up adopted, the plant of interest is described...
Vahid Hassani, A. Pedro Aguiar, António Man...