… framework that automatically tunes the autonomous driving … deployed to several fleet of
selfdriving vehicles of different types in … the control parameters auto-tuning as a public service. …

… = [Q1,Q2,Q3,Q4] T dominate the controller and thus are selected for auto-tuning. Alternatively,
the outer-loop control can be realized by a Model-Predictive-Control (MPC) controller, for …

… 1: Auto-tuning framework. We initialize the reference trajectory for the first few footsteps and
… stable motion of an autonomous vehicle. Although auto-tuning methods have been applied …

… drifting control for autonomous driving [1], as well as Adaptive Cruise Control … auto-tuning
framework APOVD based on BO is first proposed to optimize the parameters of the vehicle …

… , gradient-based automatic tuning framework. We formulate the controller … ’s car and a
quadrotor in challenging simulation environments. In comparison with state-of-the-art auto-tuning …

… learning pipelines must incorporate auto-tuning and self-… specific automated machine
learning (AutoML) for driving risk … An AutoML framework is designed to achieve selfoptimised …

… Examples are robotic vacuum cleaners and autonomous cars, ignoring the suspension.
The autonomous warehouse robots considered in this report only have one degree of freedom …

… The rea- 84 sons of adopting RL framework in our tasks are … are (1) a multi-branch 129
framework to train a RL agent to tune … We present a generic RL framework to alleviate 254 such a …

… of autonomous driving has been drawing growing attention in the automotive industry. The
practical use of autonomous driving … Next, we tune the parameter ρ in the framework of VIMT. …

… In this section, we compare the following methods in simulations on a Dubin’s car and a …
Future work will focus on improving the second-order methods for more efficient autotuning …