… We also demonstrate that human-like driving … expert policy using IL from an expert
demonstration. By adding the Kullback–Leibler (KL) divergence between the imitative expert priors …

… level control space and 2) leverage expert prior knowledge rather than learning from scratch…
for autonomous driving that simultaneously leverages motion skills and expert priors. We …

… The rest of the prior work focuses on specific topics in this domain, such as imitation … During
testing, the driving system may deviate from the expert driving corridor, and it is essential to …

… the potential to achieve expert performance in the autonomous driving field. This section …
Lv, “Efficient deep reinforcement learning with imitative expert priors for autonomous driving,…

… to visual priors for robotic control and behavior cloning methods for autonomous driving.
In … approximately 10 hours of driving frames and corresponding expert controls for imitation …

… enlarge the encoder with prior structure and corresponding … that requires an expert to collect
driving logs: a sequence of vehi… We adopt Roach [77], an RL-based network, as our expert …

… behavior cloning from a rule-based expert. CIL [10] adopts a … to obtain a driving policy to
surpass the rule-based expert. … model issue, we inject the priors of the hand-crafted rules into …

… priors in perception and motion forecasting methods. In this paper we propose to incorporate
these structured priors … to incorporate non-differentiable priors over sample trajectories from …

… is driven by autonomous driving capabilities which where determined with expert prior
knowledge and are specifically meant to capture what is necessary to be able to drive in nearly all …

… or expert knowledge for which reasonable exceptions occur. For example, in autonomous
driving, … Our goal is now to integrate prior world or expert knowledge \(\mathcal {B}\) into the …