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Reducing the Computational Cost of Deep Reinforcement Learning Research

  • 101 points
  • 25 days ago

  • @theafh
  • Created a post

Reducing the Computational Cost of Deep Reinforcement Learning Research


@sxp 25 days

Replying to @theafh 🎙

> By doing so, in addition to reducing the environmental impact of our experiments...

How does reducing the cost of individual experiments reduce the total environmental impact? Won't more efficient experiments (measured as experiments/Watt-hour or experiments/$) just trigger https://en.wikipedia.org/wiki/Jevons_paradox as more people take advantage of the lower cost?

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@DrNuke 25 days

Replying to @theafh 🎙

2016 GTX 1070s 8GB will live another day as the bang-on-the-buck ml/dl/drl intro graphic cards then.

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@TaylorAlexander 25 days

Replying to @theafh 🎙

Amazing that they fired Timnit Gebru [1][2] after she pushed back against the removal of this very subject from one of her research papers, [3] only to publish their own work on it without mentioning her.

[1] https://www.nytimes.com/2017/12/31/technology/google-images-...

[2] https://www.economist.com/science-and-technology/2017/03/02/...

[3] https://www.theverge.com/22309962/timnit-gebru-google-harass...

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@igorkraw 25 days

Replying to @theafh 🎙

I'm a bit surprised this paper: https://arxiv.org/abs/1906.05243 wasn't in the citations, nor did the authors build on it

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