Konsep Inti
This research paper introduces the Simple to Complex Collaborative Decision (S2CD) framework, a novel approach to training reinforcement learning agents for autonomous driving that prioritizes both safety and efficiency by leveraging knowledge transfer from a teacher model trained in a simplified environment.
Statistik
Approximately 94% of traffic accidents are caused by suboptimal decisions made by human drivers.
Kutipan
"The introduction of Reinforcement Learning in autonomous driving presents a promising solution to these challenges, although concerns about safety and efficiency during training remain major obstacles to its widespread application."
"In human learning, especially when dealing with dangerous situations, we do not rely solely on trial and error to acquire knowledge. Instead, we seek guidance from a teacher to ensure safety and efficiency during the learning process."
"Therefore, in this paper, we propose a novel TSF called the S2CD framework, which effectively facilitates knowledge transfer from teacher to student."