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Deep learning framework for autonomous driving in TORCS

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eubrunomiguel/drl_rcc_torcs

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drl_rcc_torcs

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  • End-to-end neural network
    • Run the simulator with the "perfect" driver. Collect the images and the steering angle.
    • Create a network based on VGG
    • Error function.
    • Training
  • Actor/Critic
  • Segmentation

Links

Notes

  • If you want to compile for yourself, use /home/gym_torcs/vtorcs-RL-color/src/libs/raceengineclient/raceengine.cpp
  • to get from little screen to big screen: down, down, enter; down, enter; right, right, enter; enter
  • run with command line --random option to enable random track selector

Training Data

todo

  • image augmentation, road segmentation
  • test network and solver
  • adjust hyperparameters

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Deep learning framework for autonomous driving in TORCS

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