Cooperative Lane Changing via Deep Reinforcement Learning

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In this paper, we study how to learn an appropriate lane changing strategy for autonomous vehicles by using deep reinforcement learning.

• We show that the reward of the system should consider the overall traffic efficiency instead of the travel efficiency of an individual vehicle.
• In summary, cooperation leads to a more harmonic and efficient traffic system rather than competition