Controlling an autonomous vehicle with deep reinforcement learning
A Folkers, M Rick, C Büskens - 2019 IEEE intelligent vehicles …, 2019 - ieeexplore.ieee.org
We present a control approach for autonomous vehicles based on deep reinforcement
learning. A neural network agent is trained to map its estimated state to acceleration and …
learning. A neural network agent is trained to map its estimated state to acceleration and …
Controlling an Autonomous Vehicle with Deep Reinforcement Learning
A Folkers, M Rick, C Büskens - arXiv preprint arXiv:1909.12153, 2019 - arxiv.org
We present a control approach for autonomous vehicles based on deep reinforcement
learning. A neural network agent is trained to map its estimated state to acceleration and …
learning. A neural network agent is trained to map its estimated state to acceleration and …
Controlling an Autonomous Vehicle with Deep Reinforcement Learning
A Folkers, M Rick, C Büskens - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
We present a control approach for autonomous vehicles based on deep reinforcement
learning. A neural network agent is trained to map its estimated state to acceleration and …
learning. A neural network agent is trained to map its estimated state to acceleration and …
Controlling an Autonomous Vehicle with Deep Reinforcement Learning
A Folkers, M Rick, C Büskens - 2019 IEEE Intelligent Vehicles …, 2019 - dl.acm.org
We present a control approach for autonomous vehicles based on deep reinforcement
learning. A neural network agent is trained to map its estimated state to acceleration and …
learning. A neural network agent is trained to map its estimated state to acceleration and …