Reinforcement learning on systems of record

Challenge

Optimizing decision-making in complex, dynamic environments using the example of logistics warehouse control
Sensitivity analysis / increasing the transparency of an AI using the example of a trained reinforcement learning agent

Solution

Department store simulator used as a basis for training an AI
Generic reinforcement learning algorithms learn desired behavior (e.g., maximizing job throughput) through interaction with the simulator

Benefit

Optimization of goods handling in a warehouse
Support of employees in dispatching

Your contact

Dragan Sunjka

Lead IT Consultant Automotive & Manufacturing

automotive@msg.group

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