Yes. Some of this is in the paper, but I didn't try training with multiple eves at a time (yet). It's a very reasonable thing to try. We did test the robustness by doing a final evaluation pass where we trained a fresh eve a few dozen times without modifying A&B. That eve was generally 0.5-2 bits more successful than the one being trained iteratively, suggesting we could do better.

The last question you asked is, well, a good question. There's no reason to think that the current algorithm is very good in that regard. It's probably vulnerable, since we know it mixes multiple key bits & plaintext bits together.