… maintaining high robustness of target tracking in a 3D dynamic … (UCAVs) based on deep
deterministic policy gradient (DDPG). … First, create a target tracking simulator, Tracker, in the …

… This article aims to develop a target tracking by a UAV using … TD3 for the UAV-based target
tracking problem with PD for boosting … for UAV-based target tracking that enables a careful …

… To realize the vehicle speed tracking control with a robotic driver, this article proposes a
novel deep reinforcement learning (DRL) approach based on deep deterministic policy gradient …

… based deterministic policy gradient (MPQ-DPG) algorithm to achieve high-level tracking control
… critics are trained to learn the deterministic policy and action-value function, respectively. …

… target tracking under obstacle environments using deep reinforcement learning, and an
improved deep deterministic policy … the behavior of UAV to achieve target tracking, and a penalty …

… and target tracking, and achieved good results [17]. Gan Z et al. [18] established a UAV
tracking model based on deep reinforcement learning, and studied the target tracking problem of …

We present an approach for approximately solving discrete-time stochastic optimal-control
problems by combining direct trajectory optimization, deterministic sampling, and policy …

… meta twin delayed deep deterministic policy gradient (Meta-… track a target in an environment
where the motion of a target is … deterministic policy gradient (DDPG) and twin delayed deep …

… of hydrodynamics, target tracking control is converted into … target tracking control are
described. Based on the actor–critic reinforcement learning framework, the deep deterministic policy …

… to track the target. Aiming at this problem, an attitude tracking decision method based on deep
deterministic policy … -making method for fast maneuvering target tracking and observation. …