Unity-ml-agents-self-driving-car

Construction of 3D digital twin environment for vehicle using Unity ML-Agents and implementation of self-driving technology using deep reinforcement learning(DQN)

Version

• Unity: 2021.3
• ML-Agents: 2.2.1 (release 19)
• Python: 3.7
• ML-Agents Python package: 0.28.0
• Torch: 1.7.1+cu110

Installation and How to playing(In Window)

1. Anaconda3: Download and installation instructions here: https://www.anaconda.com/products/individual

   

2. Nvidia driver: Download by setting it to your GPU specifications. https://www.nvidia.com/Download/index.aspx?lang=kr

   

3. cuDNN, CUDA, Python version: Check the version here: https://www.tensorflow.org/install/source_windows

   • CUDA: Download here:

     https://developer.nvidia.com/cuda-toolkit-archive

   • cuDNN: Download here:

     https://developer.nvidia.com/rdp/cudnn-archive

     After downloading, extract the file and move it to

     C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2

4. Create a Virtual Environment in Anaconda3:

   conda create -n your_virtual_env_name

   conda activate your_virtual_env_name

   pip install tensorflow-gpu

   python -m pip install -q mlagents==0.28.0

   pip3 install torch~=1.7.1 -f https://download.pytorch.org/whl/torch_stable.html

5. Open Visual Studio Code(Set up virtual environment)

   Ctrl + Shift + P (Python select interpreter)

6. Open python scripts(Car_gym.py, DQN_220523.py)

7. Run DQN_220523.py script

Preview

Reference

• Unity-ML-Agents
• 2021_RLKR_Drone_Delivery_Challenge_with_Unity