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Application of reinforcement learning to Optimize transportation routes using reinforcement learning

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Transportation Routes Obtimization by Reinforcement Learning

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  • application of reinforcement learning to optimize transportation routes

Description

  • At the beginning, passengers are created with their destination. Elevator knows where passengers want to go even in the other elevators.
  • Elevators should transport as many people as possible to their destinations as quickly as possible.
  • Reward is a negative value for the sum of people in a building and in elevators.

Implemented Algorithms

  • PPO + GAE

RUN

python main.py
  • if you want to change hyper-parameters, you can check "python main.py --help"
  • you just train and test basic model using main.py

Thanks to...

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