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On Suitability of the Reinforcement Learning Methodology in Dynamic, Heterogeneous, Self-optimizing Networks.
Milos Rovcanin
Eli De Poorter
Ingrid Moerman
Piet Demeester
Published in:
NEW2AN (2013)
Keyphrases
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reinforcement learning
heterogeneous networks
dynamic networks
social networks
dynamic environments
model free
state space
markov decision processes
connectionist networks
data sets
reinforcement learning algorithms
network structure
case study
information systems
learning algorithm
machine learning
real world