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Tongji University
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AWM enables autonomous vehicles to effectively learn from adversarial scenarios, significantly enhancing their robustness in rare and critical traffic conditions.
By framing adversarial training as a zero-sum Markov game, ADV-0 finds more diverse safety-critical failures in autonomous driving systems, leading to significantly improved generalization against unseen long-tail risks.
