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A comment on Mastering Chess and Shogi by Self-Play with General Reinforcement Learning. Parent comment

Re:Mastering Chess and Shogi by Self-Play with General Reinf... by gwern on Wednesday December 06, 2017 @02:57PM (#15864402)
To be a little more precise: Stockfish has used >5,667,382 CPU-hours (5.6 million CPU-hours) adding up just the participants who contributed >10,000 CPU-hours according to https://github.com/mcostalba/Stockfish/blob/master/Top%20CPU...
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Re:Mastering Chess and Shogi by Self-Play with General Reinf... by nojvek on Thursday December 07, 2017 @08:45AM (#15869882)
Yes but that's training time. At runtime AlphaZero got magnitudes more computation power than stockfish.

A more fair comparison would be use as much computation needed for training but for runtime, use equal wattage hardware.

E.g 20W of cpu in mobile phone running stockfish to 20W of GPU in nvidia TX2 running AlphaZero to 20W human brain.

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