robotics

In this work we explore the application of deep reinforcement learning (DRL) in navigating autonomous vehicles (AVs) within dynamic environments, aiming to optimize fuel efficiency without compromising safety or operational reliability. Focusing on the intricate balance between real-time decision-making and energy conservation, a DRL model was developed that efficiently manages Read more…