2 papers
cs.RO2019
Time-Dependent Hybrid-State A* and Optimal Control for Autonomous Vehicles in Arbitrary and Dynamic Environment
Andreas Folkers, Matthias Rick, Christof Büskens
The development of driving functions for autonomous vehicles in urban environments is still a challenging task. In comparison with driving on motorways, a wide variety of moving ro…
cs.RO2019
Controlling an Autonomous Vehicle with Deep Reinforcement Learning
Andreas Folkers, Matthias Rick, Christof Büskens
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 steerin…