In what ways a machine learning model can be trained/improved using video games?
Most aim cheats these days use ML to avoid detection
There’s a whole bunch of YouTube videos of people training AI to play games.
Here a pretty good example:
he said how can a model be trained by playing/using games, not how to train a model to play games I think
The specific example I linked to uses machine learning to try and master the game by playing it.
Conventional AI/ML: I… don’t think so, unless they are models specially designed for playing games (with extreme examples being the likes of AlphaZero for chess/shogi/go). Actually I guess you could say that whatever DeepMind was doing was technically training/improving their models using video games? Case in point, their innovation on AlphaZero led to AlphaFold (which literally got a Nobel Prize) and the recent weather prediction tool
Generative AI: The field seems to have a major existential crisis due to running out of high-quality training data. So maybe there would be a way to use games to augment training data? I’m not an expert in Generative AI/LLM training so I’m not sure of the details
AGI: I’m certain an AGI model can be improved using video games but I don’t think researchers even remotely have a concept of how to build an AGI model yet
