E.g. suppose some AI system was trained to learn new video games: each RL episode was it being shown a video game it had never seen, and it’s supposed to try to play it; its reward is the score it gets. Then after training this system, you show it a whole new type of video game it has never seen (maybe it was trained on platformers and point-and-click adventures and visual novels, and now you show it a first-person-shooter for the first time). Suppose it could get decent at the first-person-shooter after like a subjective hour of messing around with it. If you saw that demo in 2025, how would that update your timelines?
Time constraints may make this much harder. Like a lot of games require multiple inputs per second (eg double jump) and at any given time the AI with the best transfer learning will be far too slow for inference to play as well as a human. (you could slow the game down of course)
Time constraints may make this much harder. Like a lot of games require multiple inputs per second (eg double jump) and at any given time the AI with the best transfer learning will be far too slow for inference to play as well as a human. (you could slow the game down of course)