News for hackers. Stuff that matters.
Re:4000x Speedup in Reinforcement Learning with Jax by sillysaurusx on Friday April 07, 2023 @01:17PM (#35484186)
According to the AlphaZero paper (https://arxiv.org/pdf/1712.01815.pdf) they ran game logic on TPUs:

> Training proceeded for 700,000 steps (mini-batches of size 4,096) starting from randomly initialised parameters, using 5,000 first-generation TPUs to generate self-play games and 64 second-generation TPUs to train the neural networks. Further details of the training procedure are provided in the Methods.

There are no comments on this comment yet.