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ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving
End-to-end autonomous driving models based on Vision-Language-Action (VLA) architectures have shown promising results by learning driving policies through behavior cloning on expert demonstrations. However, imitation learning inherently limits the model to replicating observed behaviors without expl
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