Hardware-dependent results

Raising the seed count from three to ten dropped most RL policies below random

A molecular optimisation experiment cleared significance on three seeds per policy and produced readable weight matrices. At ten seeds most learned policies trailed the random baseline. The first warning was a ranking that changed with the host.