bryanat/Reinforcement-Learning-Unity-3D-Packing

3D Packing with Deep Reinforcement Learning using Unity ML-Agents (AI)

30
/ 100
Emerging

This tool helps logistics and shipping managers efficiently pack various-sized boxes into industrial containers. You input the number and dimensions of boxes, and it outputs precise instructions for placing each box to minimize wasted space. This is ideal for professionals in supply chain management, warehousing, and transportation looking to optimize container utilization.

No commits in the last 6 months.

Use this if you need to determine the most space-efficient way to load boxes into shipping containers, reducing air shipment and associated costs.

Not ideal if your packing needs involve irregularly shaped items or a highly dynamic, real-time packing environment without prior box dimension input.

logistics-optimization supply-chain-management container-loading warehouse-operations shipping-efficiency
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 16 / 25

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Stars

22

Forks

7

Language

Python

License

Last pushed

Aug 22, 2024

Commits (30d)

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