Life In 19x19

Anyway, the fact that older bots in lots of cases matched the AGZ moves better is a bit weird. All the bots from the list had an equal search limitations, so the playouts itself is not the reason of such a great performance from older AI's.
Maybe the newer bots are finding different moves because ...

Additionally, in the reddit post on this (https://www.reddit.com/r/baduk/comments/e376r5/alphago_zero_comparison_with_modern_zero_ai/) one of the commenters suggests that the AlphaGo Zero selfplay games were actually played with quite large numbers of playouts, much larger than was used in any of ...

You cannot answer the question whether AGZ is stronger than current bots by assuming it is - which expecting move selections to match its does.

At least you need control by comparing to how well the new bots can predict each other's moves. Verifying whether the test moves are actually the best in ...

Comparison of AlphaGo Zero (both 20 & 40 residual blocks sized) with its Deep Reinforcement Learning Descendents, Based on Matching the 40 Samples of AlphaGo Zero’s Moves.
In this text Leela Zero, ELF OpenGo, PhoenixGo, MiniGo & KataGo being tested for capability to detect and match the moves of ...