Tag: deep deterministic policy gradient

In a simulation study of 6G communication networks, a deep reinforcement learning framework outperformed conventional algorithms and deterministic policy gradients ...

Researchers developed a reinforcement learning surrogate model that adapts finite element vehicle simulations to accurately estimate frontal crash velocity pulses ...

Researchers demonstrated that a deep deterministic policy gradient framework improves trajectory tracking accuracy in simulated five-degree-of-freedom robotic arms over conventional ...

A deep deterministic policy gradient framework improves simulated cyclocopter trajectory tracking and disturbance rejection by dynamically scheduling eighteen control gains ...

A multi-objective reinforcement-learning system reduced cobot trajectory error, collisions, cycle time, and energy use in a controlled simulation benchmark, while ...