Transportation Routes Obtimization by Reinforcement Learning

• 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...

• @shinseung428