convergence of several policy gradient methods, whose novelty is summarized in Lines 210-212 and further explained

Neural Information Processing Systems 

R1.1 ...these analysis mainly come from the existing work...the novelty is very limited. Our proposed SRVR-NPG has a better complexity than SRVR-PG (Remark 4.13). We believed our theoretical contrition already has archival value. R1.3 Reproducibility: We believe that all of our theoretical claims have been proved. Please refer to [34] for a detailed proof.

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