[Computer-go] AlphaZero paper difference between 2017 and 2018

[Hiroshi Yamashita]

Hi,

I found AlphaZero paper Table S3 is different 2017 and 2018.


                2017              2018
Mini-batches   700k              700k
Training Time   34h               13d
Training Games  21 million       140 million
Thinking Time  800 sims, 200ms   800 sims, 200ms


Training Time  is  34h         ->    13d             9.2 times
Training Games is  21 million  ->   140 million      6.6 times

Chess and Shogi is same.
And Figure 1 is also a bit different in Shogi and Go. Chess looks same.

Why these numbers are so different? Is it typo?


AlphaZero(2017/12/05)
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://arxiv.org/abs/1712.01815

AlphaZero(2018/12/07)
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
https://deepmind.com/documents/260/alphazero_preprint.pdf

Thanks,
Hiroshi Yamashita