Figure . Sparse distribution of learned weights w i after 30 episodes of RLCI for an H 12 ring with interatomic spacing of 1.5 Å and a STO-6G basis. The weights were sorted and plotted according to magnitude, with a constant of 10 -14 added to avoid plotting zero on a log scale. The learned weights are sparse, with roughly 13% of the over 2.7 million determinants being non-zero. For this particular case, a subspace dimension of k = 10, 000 was utilized, which recovered around 95% of the FCI correlation energy. All other parameters correspond to the defaults used elsewhere in this work.