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Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning.
Shuhui Qu
Jie Wang
Jürgen Jasperneite
Published in:
ETFA (2018)
Keyphrases
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dynamic scheduling
demand driven
process planning
reinforcement learning
flexible manufacturing systems
manufacturing systems
multi agent
computer aided design
load balance
computer networks
real time
grid services
state space
computer aided
network structure
mobile agents
optimal policy
database systems