4 ms·
Strangely the paper doesn't seem to give much detail on the cs-go example. Actually the paper explicitly mentions it's limited to discrete control environments.
by fancyfredbot 2y ago
Strangely the paper doesn't seem to give much detail on the cs-go example. Actually the paper explicitly mentions it's limited to discrete control environments. Unless I'm missing something the mouse input for counterstrike isn't discrete and wouldn't work.
I'm not sure why the title says it was trained on 2x4090 either as I can't see this on either the linked page or the paper. The paper mentions a GPU year of 4090 compute was used to train the Atari model.
- c1b 2y agoCSGO model is only 1.5 gb & training took 12 days on a 4090 https://github.com/eloialonso/diamond/tree/csgo?tab=readme-ov-file https://github.com/eloialonso/diamond/tree/csgo?tab=readme-o...
- fancyfredbot 2y agoThanks, that's the detail I was looking for on the training. It's amazing results like this can be achieved at such a low costs! I thought this kind of work was out of reach for the GPU poor. The part about the continuous control still seems weird to me though. If anyone understands that then very interested to hear more.