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Learning a deep neural net policy for end-to-end control of autonomous vehicles.
Viktor Rausch
Andreas Hansen
Eugen Solowjow
Chang Liu
Edwin Kreuzer
J. Karl Hedrick
Published in:
ACC (2017)
Keyphrases
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end to end
neural nets
autonomous vehicles
learning tasks
learning algorithm
learning process
admission control
control system
back propagation
supervised learning
path planning
neural network
reinforcement learning
active learning
support vector
training data
structured environments