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🇷🇴 Romania ROAI 2026, Selection Camp – CPU Practical Round
Smart Warehouse
Implement TD(0), SARSA and Q-learning and train a tabular agent for hidden warehouse delivery grids.
- Statement
- English
- Data
- The data comes with the statement.
- To hand in
- A trained model
- Hardware
- A laptop is enough (CPU)
- Data type
- 🎮 Interactive environment
- Estimated difficulty
- Unknown
Get ready on the platform
The foundations of the learning path for this kind of data.
›How to tackle it
- Read the statement. What to hand in, the metric that scores you, the time and hardware limits.
- Explore the data. Size, format, missing values, how the labels are spread.
- Score yourself first. Keep part of the training data aside to measure your work before submitting.
- Start simple, then improve. A first solution that works end to end, then one change at a time.
- Compare with a solution. Once you have searched, open it and see what you would have done differently.
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