Recent submissions

Comment · 1 year ago
the promo process :P no noise there!
Comment · 1 year ago
Somewhere out there, an economist who has dedicated their life to causal inference is crying
Comment · 1 year ago
Navigate cancellation menus with embedded dark patterns
Comment · 1 year ago
Is there a metric I can look at in engine evaluations to determine when a situation is "risky" for white or black (e.g., the situation above) even if it looks equal with perfect play?

I've always been interested in understanding situations where this is the case (and the opposite, where the engine favours one side but it seems to require a long, hard-to-find sequence of moves.

Playing out the top lines helps if equality requires perfect play from one side.

Comment · 2 years ago
This is litterally the best comment I've seen today!
Comment · 2 years ago
Do you have evaluations for how well the trained agents do (e.g. for chess, go, etc)?
Comment · 2 years ago
Comment · 2 years ago
Missed that -- thanks!
Comment · 2 years ago
The linked paper (https://www.nature.com/articles/s41586-023-06734-w) in the quoted tweet appears to be from the Ceder Group at UC Berkeley, not DeepMind. Is there a different link I'm missing?

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