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It looks as if most extant Tetris-playing AIs are trained up under relatively "normal" circumstances, with pieces being selected randomly or even using the highly forgiving bucket-based generator.http://tetris.wikia.com/wiki/Random_Generator …
These Tetris-playing AIs are not prepared for highly adversarial enemy AIs like HATETRIS and I think they are likely to perform very poorly under these conditions.
Under normal circumstances I think a good human can play about as well as the best Tetris-playing AIs. The AIs probably win out eventually, due to superior reaction times and a reduced tendency to get bored or make mistakes
Under adversarial conditions I believe a good human can far outperform the best Tetris-playing AIs. The reason I say this is that I simply can't find any examples of a Tetris-playing AI being trained under adversarial conditions.
This said, I don't see an easy way to train up a fitter, stronger HATETRIS unless it has a credible AI opponent. I can't train the thing manually. I'm not even that good at regular Tetris.
To cut a long story short ("TOO LATE") I think I need to create a Tetris-playing AI of my own.
Probably the easiest way to get started here is to take some existing code and pit it against HATETRIS in the training phase, instead of a more forgiving random piece generator.
HATETRIS is a fixed target and as far as I know it has never really been hit hard before, at least by anything other humans.
Recall that since HATETRIS is deterministic, it may be possible to catch it in a loop and score unlimited lines. It would be really exciting if that loop could be found.
Incidentally, the second someone finds that loop, I'm patching HATETRIS to avoid ever generating the same piece for the same well twice.
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