Lab_02 - Nim Review

[vinz321]

Review regarding Lab02 - Nim:

• The code is very well written, easy to comprehend thanks to the comments and the descriptions which are very accurate.
• Your way of dealing with terminal conditions as hybrid between ES and rule-based AI is a smart approach that I believe improves the performance of the algorithm.
• Also the linear convergence of the tweak_factor will lead to a better solution.
• The idea of choosing simple strategies to choose among when choosing the strategy seems a good idea, but I think it could be improved by giving a percentage for different stages of the game (like when the nim_sum is zero/not zero or for each state of the game, more computationally expensive).
• The high selective pressure may prefer exploitation rather than exploration.

Best Regards, Vincenzo Micciche'

[AndPan96]

Hi Vincenzo, thank you for your feedback! I will surely try to follow your tips and put more effort developing and benchmarking variations for my future works!

Best regards, Andrea Panuccio