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Smart-Elevator-With-RL

TODO LIST

  • Make an editable building simulator Done
  • Convert the simulator to custom gym environment Done
  • Add render function which can be used for testing models Done
  • Implement a greedy algorithm for comparison between models
  • Add noise missions to the environment
  • Define the disorder of the environment.
  • Observe the performance change between the models according to the disorder.

Installation

Install stable-baselines

  • Follow the instruction in this document

Install Gym env

cd Smart-Elevator-With-RL
python -m pip install -e gym-building

Train

cd Smart-Elevator-With-RL
python model\A2C\train.py

Test

cd Smart-Elevator-With-RL
python model\A2C\test.py

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강화학습을 활용해 승강기 경로 최적화하기

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