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MDAI
2005
Springer
15 years 3 months ago
Perceptive Evaluation for the Optimal Discounted Reward in Markov Decision Processes
We formulate a fuzzy perceptive model for Markov decision processes with discounted payoff in which the perception for transition probabilities is described by fuzzy sets. Our aim...
Masami Kurano, Masami Yasuda, Jun-ichi Nakagami, Y...
ICML
2007
IEEE
15 years 10 months ago
Percentile optimization in uncertain Markov decision processes with application to efficient exploration
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
Erick Delage, Shie Mannor
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
15 years 4 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
ICARIS
2005
Springer
15 years 3 months ago
A Markov Chain Model of the B-Cell Algorithm
An exact Markov chain model of the B-cell algorithm (BCA) is constructed via a novel possible transit method. The model is used to formulate a proof that the BCA is convergent abso...
Edward Clark, Andrew Hone, Jon Timmis
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
15 years 2 months ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr