7. Reinforcement Learning for Adaptive Driving
Reinforcement learning equips autonomous vehicle AI with the ability to refine its driving skills through repeated trial and error, adjusting to complex and unpredictable situations on the road.
This enables vehicles to master tasks like merging, lane changes, or overtaking, all while responding to real-world variables.
Companies such as Baidu Apollo are advancing this technology, ensuring that self-driving cars become increasingly competent and adaptive as they accumulate more experience.