A reinforcement-learning-based adversary learns to trigger collisions in DRL autonomous-driving policies with about three small, well-timed input perturbations per episode.
Deep multi -agent reinforcement learning for highway on -ramp merging in mixed traffic,
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Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies
A reinforcement-learning-based adversary learns to trigger collisions in DRL autonomous-driving policies with about three small, well-timed input perturbations per episode.