Solving an NP-Complete problem with Reinforcement Learning
Here you find the details for the internship named "Solving an NP-Complete problem with Reinforcement Learning" in the company Optioryx.
Name: | Solving an NP-Complete problem with Reinforcement Learning |
Company: | Optioryx |
Description: | There aren't many industries where algorithms have a more direct impact on efficiency, cost and sustainability than in the supply chain sector. Nevertheless, algorithmic innovation is still severely lacking in this area. Currently, factories and warehouses manage most of their processes using slow, inaccurate and siloed heuristics that are shoddily coupled in ancient systems such as SAP. Case in point: many warehouses ship trucks that are suboptimally filled with boxes that are still full of air, resulting in unnecessary transport trips, emissions and financial losses. This is where Optioryx comes into play. It is our mission to help companies ship products, not air. Our 3D bin packing algorithm already increases space utilisation on pallets, boxes and in trucks with up to 30%. During your internship at Optioryx, you would research, brainstorm and implement ML architectures that strengthen our algorithm. We have real-world data to validate performance and PhDs & Kaggle Masters on staff to support you the entire way. If you are excited by the idea of making a tangible impact on the efficiency of the global supply chain in a dynamic and early stage startup environment, then we want you! Website: https://optioryx.com |
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Required special knowledge: | |
Duration: | 6 weeks or longer |
Paid: | Nee |
Net wage: | - |
Foreign: | Nee |
Contact: |
Vic Degraeve (CTO) Email: vic.degraeve@optioryx.com Tel: |