Yamashita san,
About your question, I think that the answer is yes.
AlphaZero Symmetries seems successfully saturated.
That means that 20b neural network with symmetries has a capacity to learn at
most 21M full games.
If you let the network to learn 21M full games without preprocessing inputs fo
Hi Ichikawa san,
Thank you for nice explanation. I think your guess is maybe right.
And 2018 nature paper might have no mistake.
I had checked carefully both Figure 1.
1. 2017 reaches AlphaGo Lee in 170,000 step. 2018 reaches in 80,000 step.
2. 2017 and 2018 reach "AlphaGo Zero(20 block)" in si
Yamashita san,
Go version in AlphaZero 2017 finished the training in 34 hours according to
Table S3.
And it looks like AlphaZero Symmetries in AlphaZero 2018 finished the training
in the same time according to Figure S1.
So I think that the authors had adopted AlphaZero Symmetries in 2017 paper
Hi,
Number of learned positions from a game record
pos steps minibatch games
AlphaGoZero 293 ( 700,000 * 2048) / 4,900,000 3 days
AlphaGoZero 219 (3,100,000 * 2048) / 29,000,000256 x 40 block, 40 days
AlphaZero 2017 137 ( 700,0
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 3
