Poisoning Enemy Learning Systems

Maybe a flattener which instead of going where it was hit the least (most bots), goes where it was hit the most, but still below a certain threshold. Artificially create a spike in the opponent profile, then avoid it when it goes over the threshold. The data is poisoned until another higher spike appears, which might take a while without data decay. If the bot starts flattening the profile afterwards, it might take a looong time for another spike to form.

Can work in theory, but the threshold is different for each opponent. And data decay can quick get rid of poisoned data.