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Reinforcement learning for optimizing transit to a delivery destination

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delivery-route-rl

Reinforcement learning for optimizing transit to a delivery destination

Summary

The purpose of this project is to create a reinforcement learning model capable of solving a simulated environment where an agent needs to traverse a delivery route.

Environment Diagram Diagram of the environment -- where S represents the starting point of the delivery route and F respresents the destination

Setup

conda env install -f environment.yml

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Reinforcement learning for optimizing transit to a delivery destination

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