Peer review lab 10 Ludovico Fiorio s306058 #9
Description
hi,
what I appreciate about your code:
- the code is very well documented; almost every line has a comment, making the code very understandable.
- a very clever idea is sorting the state before creating the key for a dictionary/list. Otherwise, the same state reached with two different trajectories is not treated the same.
- the minmax function is very sound and well done with two caches to save time.
areas of improvement:
- the final results are high but not optimal against a completely random opponent. In my opinion, you should try using different rewards, like 10 for winning and -1 for losing.
- constants should be in capital letters.
- another nice idea may be playing and training against a more clever opponent. For example, an opponent that checks if it has a winning move or if the other player has a winning move and acts accordingly.