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This repository is the implementation of our research "Trustworthy Autonomous Driving via Defense-Aware Robust Reinforcement Learning against Worst-Case Observational Perturbations".

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DARRL

This repository is the implementation of our research "Trustworthy Autonomous Driving via Defense-Aware Robust Reinforcement Learning against Worst-Case Observational Perturbations".

The code will be released soon.

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This repository is the implementation of our research "Trustworthy Autonomous Driving via Defense-Aware Robust Reinforcement Learning against Worst-Case Observational Perturbations".

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