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1. MAD-ARL MAD-ARL Public

   Python project for the paper "Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies".

   Python 13 3

2. Benchmarking-QRS-2022 Benchmarking-QRS-2022 Public

   Implementation of "Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-Agent Urban Driving Environment".

   Python 5 1

3. ReMAV ReMAV Public

   Implementation of "ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events".

   Jupyter Notebook 4 1

4. DeepOrder-ICSME21 DeepOrder-ICSME21 Public

   Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".

   Jupyter Notebook 18 11