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Online imitation learning can outperform offline methods, but only when the student can effectively represent the expert—realizability is key.
Forget scaling laws – the real bottleneck in associative memory isn't storage, it's retrieval: forcing a single "winner" costs you a logarithmic factor in capacity compared to allowing a ranked list.
