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
