Wayve's RL-trained agent driving in a simulated world

This video presents a first-person view of a trained reinforcement learning (RL) agent navigating the environment with a realistic density of other agents, including pedestrians, cars, buses and vulnerable road users. In addition to the ego vehicle, all of the dynamic traffic is powered by a diverse population of RL-trained agents. The video is shown at 2.5x real-time speed.