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Deep Reinforcement Learning with CNN networks (policy/target) training with grid (spatial) public transportation data.

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JerryIshihara/transit-signal-priority-with-spatial-info

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Description

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Environment Setup

  • Python 3.* is installed
  • Install dependencies
pip install -r requirements.txt

Training

  • After installing all the requirements, run the following command for trainig
python train.py -env cartpole
  • -env: (REQUIRED) RL Environment, availables are [cartpole, aimsun]. aimsun requires simulation software and data collecting scripts

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Deep Reinforcement Learning with CNN networks (policy/target) training with grid (spatial) public transportation data.

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