Use Case: Reinforcement Learning in Stock Replenishment

Our keynote at the AAIC - Applied AI Conference Logistics is now online ft. MazeRL
Posted on
March 22, 2021

Want to see Reinforcement Learning in action? Our keynote on "Reinforcement Learning in Stock Replenishment" is now online!

In their talk, our CTO Marcel Wasserer and Hubert Fratzl from voestalpine High Performance Metals GmbH, explain:

  • What makes Reinforcement Learning suitable for logistics and SCM optimization problems
  • How to frame the problem and implement the solution
  • Which effects could be achieved

MazeRL, our self developed open source framework we use for this case, is available as a free download on Github

For further coverage of the event please check out the AAIC Linkedin Channel

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