Traffic Impact Analysis of a Deep Reinforcement Learning-based Multi-lane Freeway Vehicle Control

Reinforcement learning is one of the methods that has been used to realize optimal driving. Most studies have focused on evaluating learning performance of a fraction of vehicles controlled by reinforcement learning. It is unclear how these controlled vehicles influence other vehicles. We conducted several experiments examining the impact of multiple vehicles controlled by reinforcement learning on traffic flow. The simulations were performed …