https://ai.googleblog.com/2022/07/training-generalist-agents-with-multi.html?m=1
They seem to be saying they are finding success by instead of training on games using RL the original way, they are making it sort of watch poor/ intermediate/ expert level gameplays and then just ask it to play as an expert? So like I think this means (?) instead of ex. trying to move a little space ship left/right at the bottom of a 2D screen, learning how to stay not hit by bullets and hit alien ships say, it simply watches the videos of us playing and uses that data to know what to do. It still needs the game outcome scores and such then if so, so it knows which videos to think about with if asked to play as an expert. So say a ship is coming close and a bullet is shot at you, it does what seen, in the AI sort of way though of course - it will probably choose to move over but also shoot back first (as a rough idea). Using this big data they already have they seem to say, they can skip training as if had no videos of people playing the game, because we do have those videos. Which, would allow scaling better I guess they are saying. Or help a ton. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T9d72fa28614a2681-M0c8123c96a232d930f5d4ffc Delivery options: https://agi.topicbox.com/groups/agi/subscription
