An expert-guided, annealed reinforcement learning adversary improves collision rates in most tested autonomous-driving scenarios, but the claim of consistent improvement is not supported by the paper's own data.
To the best of our knowledge, we are the first to integrate expert knowledge into adversarial attack training for DRL-based autonomous driving policies
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Sharpening the Spear: Adaptive Expert-Guided Adversarial Attack Against DRL-based Autonomous Driving Policies
An expert-guided, annealed reinforcement learning adversary improves collision rates in most tested autonomous-driving scenarios, but the claim of consistent improvement is not supported by the paper's own data.