zy31415/jackscarrental

Jack's Car Rental - A Reinforcement Learning Example Using Python (See Sutton's book Example 4.2)

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Experimental

This project helps operations managers at car rental companies determine the optimal number of cars to move between two locations overnight. It takes daily car rental requests and returns for each location, along with the costs of moving cars, and outputs a policy indicating how many cars to transfer to maximize profit. An operations manager responsible for fleet distribution would use this to improve daily decision-making.

No commits in the last 6 months.

Use this if you manage a car rental fleet across two locations and want to optimize car transfers to meet demand and maximize daily revenue.

Not ideal if you manage a car rental fleet with more than two locations or need to account for car maintenance schedules and long-term fleet acquisition.

fleet-management logistics resource-allocation rental-operations supply-chain-optimization
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
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Language

Python

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Last pushed

Apr 17, 2017

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