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A Theoretical Framework for End-to-End Learning of Deep Neural Networks With Applications to Robotics.
Sitan Li
Huu-Thiet Nguyen
Chien Chern Cheah
Published in:
IEEE Access (2023)
Keyphrases
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theoretical framework
end to end
neural network
learning process
theoretical foundation
reinforcement learning
conceptual framework
ad hoc networks
wireless ad hoc networks
congestion control
admission control
conceptual change
collaborative knowledge building