prplatform

Exercise

Nim - peer-review

0 / 2 peer-reviews completed.

In this exercise you're peer-reviewing other students' submissions to the exercise Nim

This exercise was closed on 26.7.2022 23.55

Review your peer's Nim programming exercise.

Questions

Open play.py in an editor and change the value of the variable peer_grading_mode to True. Run play.py which will start by training the AI agent of your peer student, then will allow you to play 5 games against it. Try to play to beat the AI:
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The program didn't start.

You won all games.

You were able to beat the AI on some games but not others.

The AI beat you on all of the games.

There were other problems such as the program crashing occasionally.

Did you learn something from the way your fellow student implemented his/her program? Did the program perform particularly well? Give some POSITIVE feedback!
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Is there something in the code that is implemented differently compared to your own implementation? Describe the main differences and their meaning for the implementation and exercise.
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How would you improve this program? Give suggestions and advice on how to make your fellow student's program better. Remember to be polite and constructive with your comments and concentrate only on the program and not person who wrote it.
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How many points would you give for the implementation? Below are some guidelines for the grading. Try to be objective and concentrate only on the program. 30 points - The AI won all the games, the program is running smoothly, and the code is readable and well-commented. 20 points - You were able to beat the AI on some games but not others. 10 points - You won all games. 5-0 points - There were other problems such as the program was occasionally crashing or the program didn't start.
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Give a short explanation of why you chose to give these points?
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