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1. TZMG_mutiple_cars TZMG_mutiple_cars Public

   Two play zero sum game framework is used to train the safe driving policy considering the maximum uncertainties of the neighbor cars

   2

2. Safe_imitation_learning Safe_imitation_learning Public

   Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning (S-AIRL) for Highway Autonomous Driving"

   Python 15 2

3. Driving_simulator_for_RL_IL Driving_simulator_for_RL_IL Public

   A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and 3-D animation is based on Carla

   Python 31 4

4. NGSIM_flexible_Testbed NGSIM_flexible_Testbed Public

   A testbed for the digital twin with autonomous driving controller/algorithms based on NGSIM dataset

   Python 14 3

5. Human_Centered_CACC Human_Centered_CACC Public

   The codes for the paper ``Cooperative adaptive cruise control for string stable mixed traffic: Benchmark and human-centered design" (2017)

   MATLAB 12 3

6. PPO-and-AIRL-with-parallel-sampling PPO-and-AIRL-with-parallel-sampling Public

   RL algorithm PPO and IRL algorithm AIRL written with Tensorflow. They have a parallel sampling feature in order to increase computation speed (especially in high-performance computing (HPC)).

   Python 5 1