2 天前 - … Autonomous vehicles (AV’s) are self-driving vehicles with minimum to … policies
and initiatives to ensure a smooth and successful transition to … reduce employment in drivers …

8 天前 - … a global optimization of the strategies employed by all nodes, thereby augmenting
the … For the deterministic policy gradient algorithm, the policy gradient of the cumulative …

9 天前 - … in scheduling a fleet of electric autonomous vehicles to provide ride-sharing services
… ; (ii) the employment of electric autonomous vehicles and a partial recharging policy. This …

17 天前 - … like disaster response, autonomous vehicles, and sensor networks. … shift from
heuristics currently employed in real-world … Our experimental results show that our trained policies …

23 天前 - … Abstract—This paper investigates the planning of Unmanned aerial vehicles (UAVs) …
on twindelayed deep deterministic policy gradient (TD3) is employed to optimize UAV …

23 天前 - … Additionally, a multiagent deep deterministic policy gradient (MADDPG) algorithm
is employed to optimize the trajectories of UMs. Simulation results demonstrate that our …

29 天前 - … Autonomous vehicles (AVs) are expected to communicate … Federated Learning
(FL) is a widely employed … of developing robust autonomous driving policies while preserving …

30 天前 - … To further optimize multi-agent cooperation, the Voronoi partition technique is
employed… By anticipating N steps forward, we aim to identify the optimal policy π⋆ that maximizes …

30 天前 - … During each update, one set of weights is employed to establish the greedy policy,
while the other is utilized to assess its value. This decoupling of selection and evaluation …

33 天前 - … , multi-AUV system is employed to complete complexed tasks, … These factors can
affect the overall path planning policies … water target localization with autonomous vehicles,” in …