Reinforcement Learning (RL) is reshaping the path toward fully autonomous vehicles by enabling machines to learn from interactions with their environment rather than relying on static rules or massive datasets alone. This paradigm allows vehicles to make decisions, adapt to new conditions, and improve their behavior over time, mimicking the learning process of humans. As technology matures, RL stands at the center of breakthroughs in perception, navigation, and control within the autonomous vehicle industry.
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