https://github.com/dennismgoetz/rl_inventory_management
"Introduction to Reinforcement Learning" course at the Catholic University of Eichstätt-Ingolstadt
https://github.com/dennismgoetz/rl_inventory_management
deep-reinforcement-learning dqn-algorithm inventory-management q-learning-algorithm reinforcement-learning
Last synced: 7 months ago
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"Introduction to Reinforcement Learning" course at the Catholic University of Eichstätt-Ingolstadt
- Host: GitHub
- URL: https://github.com/dennismgoetz/rl_inventory_management
- Owner: dennismgoetz
- Created: 2025-04-17T10:56:06.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-04-22T10:36:27.000Z (7 months ago)
- Last Synced: 2025-04-22T11:35:58.066Z (7 months ago)
- Topics: deep-reinforcement-learning, dqn-algorithm, inventory-management, q-learning-algorithm, reinforcement-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 5.59 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Introduction to Reinforcement Learning
This project was part of the "Introduction to Reinforcement Learning" course at the Catholic University of Eichstätt-Ingolstadt.
## Project description
Inventory management deals with the questions on when to order, in which quantity, potentially even from which source (supplier)
to balance availability and costs. The main challenge in inventory management consists in dealing with changing demands, varying
lead times, and / or disruptions. There are many different specific problem settings in inventory management
(e.g., single vs. multiple supplier, fixed reorder vs. variable reorder quantity, etc.). Therefore, the objective was to work on
an implementation of the Q learning reinforcement learning algorithm in an inventory management scenario, which is a typical
application area in supply chain management. The file `RL_inventory_management_groupwork.pdf` contains the report, which
describes the problem setting, the data generation process, an outlook on extending the model to DQN, as well as the results and
a discussion. The implementaion is visible in the `inventory_beer_game_implementation.ipynb` file.
## Team Members
- [Dennis Götz](https://github.com/dennismgoetz)
- [Vincent Bläske](https://github.com/vini1166)
- [Paul Posselt](https://github.com/PaOsPo)
- [Serkan Akdemir](https://github.com/SERAKD)