Domain adaptation is an important task to enable learning when labels ar...
Advanced perception and path planning are at the core for any self-drivi...
To navigate safely in an urban environment, an autonomous vehicle (ego
v...
Unsupervised Domain Adaptation (UDA) is crucial to tackle the lack of
an...
Reinforcement Learning (RL) aims at learning an optimal behavior policy ...
Imitation learning is becoming more and more successful for autonomous
d...
Consistent and reproducible evaluation of Deep Reinforcement Learning (D...
In this paper we present a complete study of an end-to-end imitation lea...
Convolutional neural networks are commonly used to control the steering ...
Convolutional neural networks are designed for dense data, but vision da...