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glennsamuel32 wrote: ↑Sat Dec 08, 2018 6:27 am Matthew, could you divulge the size of the network file that A0 used ?

Architecture
Apart from the representation of positions and actions described above, AlphaZero uses the
same network architecture as AlphaGo Zero (9), briefly recapitulated here.
The neural network consists of a “body” followed by both policy and value “heads”. The
body consists of a rectified batch-normalized convolutional layer followed by 19 residual blocks (48).
Each such block consists of two rectified batch-normalized convolutional layers with a skip connection.
Each convolution applies 256 filters of kernel size 3 ⇥ 3 with stride 1. The policy head
applies an additional rectified, batch-normalized convolutional layer, followed by a final convolution
of 73 filters for chess or 139 filters for shogi, or a linear layer of size 362 for Go,
representing the logits of the respective policies described above. The value head applies an
additional rectified, batch-normalized convolution of 1 filter of kernel size 1 ⇥ 1 with stride 1,
followed by a rectified linear layer of size 256 and a tanh-linear layer of size 1.

matthewlai wrote: ↑Sat Dec 08, 2018 12:45 pm

glennsamuel32 wrote: ↑Sat Dec 08, 2018 6:27 am Matthew, could you divulge the size of the network file that A0 used ?

The details are in supplementary materials:

Architecture
Apart from the representation of positions and actions described above, AlphaZero uses the
same network architecture as AlphaGo Zero (9), briefly recapitulated here.
The neural network consists of a “body” followed by both policy and value “heads”. The
body consists of a rectified batch-normalized convolutional layer followed by 19 residual blocks (48).
Each such block consists of two rectified batch-normalized convolutional layers with a skip connection.
Each convolution applies 256 filters of kernel size 3 ⇥ 3 with stride 1. The policy head
applies an additional rectified, batch-normalized convolutional layer, followed by a final convolution
of 73 filters for chess or 139 filters for shogi, or a linear layer of size 362 for Go,
representing the logits of the respective policies described above. The value head applies an
additional rectified, batch-normalized convolution of 1 filter of kernel size 1 ⇥ 1 with stride 1,
followed by a rectified linear layer of size 256 and a tanh-linear layer of size 1.

nabildanial wrote: ↑Sat Dec 08, 2018 12:39 pm

Alexander Schmidt wrote: ↑Sat Dec 08, 2018 12:29 pm Maybe people will go to jail because an AI thinks he will someday do a crime. One day autonomous robots will decide which person to kill, on a battlefield or to prevent a possible crime. Maybe one day an AI will press the red button.

We have the so-called "Ethics of artificial intelligence" to prevent those things from happening.

nabildanial wrote: ↑Sat Dec 08, 2018 1:38 pm

matthewlai wrote: ↑Sat Dec 08, 2018 12:45 pm

glennsamuel32 wrote: ↑Sat Dec 08, 2018 6:27 am Matthew, could you divulge the size of the network file that A0 used ?

The details are in supplementary materials

I think what glenn meant by the question is how big the filesize is as in MB.

jp wrote: ↑Sat Dec 08, 2018 1:54 pm

nabildanial wrote: ↑Sat Dec 08, 2018 1:38 pm

matthewlai wrote: ↑Sat Dec 08, 2018 12:45 pm

glennsamuel32 wrote: ↑Sat Dec 08, 2018 6:27 am Matthew, could you divulge the size of the network file that A0 used ?

The details are in supplementary materials

I think what glenn meant by the question is how big the filesize is as in MB.

Yep. How big is the filesize in MB?

Astatos wrote: ↑Fri Dec 07, 2018 1:01 pm OK what we know :
...
2) LC0 guys did manage to reverse engineer A0 successfully
...

shrapnel wrote: ↑Sat Dec 08, 2018 1:57 pm Any Plans to Commercialize AlphaZero ?
Can't wait to get my hands on AlphaZero engine no matter what the Price.