… Cruise Control (CC) system that helps maintain a constant vehicle velocity and is closely
related to velocity control in the current study. Since constant velocity control becomes less …

… methods that are based on optimal control and vehicle dynamics. In this paper, we use
deep reinforcement learning to generate the time optimal velocity control. Furthermore, we use …

… In this study, a safe velocity control method for AV based on reinforcement learning with …
Next, the soft actor-critic (SAC) algorithm is used as the velocity control algorithm, in which …

… are based on optimal control and vehicle dynamics. In this paper, we develop a model-based
deep reinforcement learning to generate the time-optimal velocity control. Moreover, we …

… Further, on real-world velocity control datasets, our method significantly outperforms the …
this problem through velocity control. • We propose a novel velocity control model LADDPG for …

… The velocity control problem in this work is challenging due to the following reasons: (1) The
… a velocity control framework based on reinforcement learning, called RISE (control velocity …

… To improve them, the deterministic promotion reinforcement learning method … learning with
constrained physical systems. To verify the proposed method, the longitudinal velocity control …

… design of the velocities and data collection schedules of the UAVs, as inadequate velocities
and … In this paper, we optimize jointly the velocity controls and data collection schedules of …

… is to develop a deep reinforcement learning agent capable of … Moreover, this agent must
compute the proper velocity of the … (attitude controller runs at 100 Hz, velocity controller at 50 Hz …

… control energy-saving system of the PIT was designed based on a reinforcement learning …
Finally, the reinforcement learning algorithm was used to adjust the opening of the hydraulic …