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      <title>LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving</title>
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      <title>CaRL: Learning Scalable Planning Policies with Simple Rewards</title>
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      <title>Pseudo-Simulation for Autonomous Driving</title>
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      <title>SHRED: Synthesizing Rule-Based Environments for Driving</title>
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      <title>Open X-AV: Unifying End-to-End Autonomous Driving Datasets</title>
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      <title>NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking</title>
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      <pubDate>Fri, 21 Jun 2024 00:00:00 -0400</pubDate>
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