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Dynamic Control of Transparent Optical Networks with Adaptive State-Value Assessment Enabled by Reinforcement Learning.
Ryuta Shiraki
Yojiro Mori
Hiroshi Hasegawa
Ken-ichi Sato
Published in:
ICTON (2019)
Keyphrases
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reinforcement learning
optical networks
control policy
optimal control
adaptive control
state space
dynamic environments
traffic signal
real time
multi agent
control system
software architecture