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Comments (8)
- boustrophedonI might have missed it in the readme, but what hardware did the training take place on? This is really neat.
- xpctIs the actor trained on world model's mistakes as well? If so, it should learn to force hallucinations that force it into an easier state.
- dannywThis is incredibly cool! Fascinating to see looped transformers be necessary for mini-Doom, but not for simpler games.
- andaiVery cool. I didn't know NNs were capable of such determinism, that's very interesting. Is this a similar effect to overfitting? Also, it's the same model for all the games, right?
- anonundefined
- nater5000Honestly fascinating. I almost feel like you'd be better off avoiding any discussion of the fact that this runs on a Raspberry Pi Pico 2 W because it takes away from the crazy world model capabilities (of course, the fact that this does run on a Pico 2 makes the whole thing much more impressive).There's gotta be a good way to incorporate this logic into a larger, more "traditional" game in a meaningful way. Seems like an approach for procedural generation that could solve some of the issues usually found with actual procedural generation.
- gaiya365[flagged]
- lanmu[dead]
- rpsworld[flagged]
- sophia96087[dead]
- tty_bordel[dead]