Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach
In this paper, we present an advanced adaptive cruise control (ACC) concept powered by Deep Reinforcement Learning (DRL) that generates safe, human-like, and comfortable car-following policies.Unlike the current trend in developing DRL-based ACC systems, we propose defining the action space of the DRL agent with estes c6-5 engines bulk pack discret