Does anyone want to comment on this paper?
https://export.arxiv.org/pdf/1806.00683
Deep Pepper Paper
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- Full name: Leo Anger
Deep Pepper Paper
Advanced Micro Devices fan.
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Re: Deep Pepper Paper
I am not sure I understand all of it but in general it looks like a plausible approach.
They mention they don't have an ELO measure based on performance against other engines. So that makes it hard to judge how effective a system it is.
I also don't know if they have managed to overcome to tactical blindness that LC0 exhibits on occasion.
--Jon
They mention they don't have an ELO measure based on performance against other engines. So that makes it hard to judge how effective a system it is.
I also don't know if they have managed to overcome to tactical blindness that LC0 exhibits on occasion.
--Jon
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Re: Deep Pepper Paper
no games, no fun, no matter
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- Full name: Sai Krishna
Re: Deep Pepper Paper
Hello gang,
I am one of the authors of the paper, let me know if you have any questions. Our paper is an attempt for much faster training of self-play like algorithms. Self-play algorithms were proposed by David Barber's group https://arxiv.org/abs/1705.08439 and then followed by some papers from DeepMind
-Sai
I am one of the authors of the paper, let me know if you have any questions. Our paper is an attempt for much faster training of self-play like algorithms. Self-play algorithms were proposed by David Barber's group https://arxiv.org/abs/1705.08439 and then followed by some papers from DeepMind
-Sai