chess, shogi, and Go https://en.wikipedia.org/wiki/AlphaZero https://arxiv.org/html/2409.12272v2 poker https://www.science.org/doi/10.1126/science.aay2400 StarCraft 2 https://en.wikipedia.org/wiki/AlphaStar_(software) Dota 2 https://en.wikipedia.org/wiki/OpenAI_Five factorio https://fxtwitter.com/_neel_kant/status/1920516491025482066 pokemon https://x.com/sundarpichai/status/1918455766542930004 minecraft https://x.com/BasedBeffJezos/status/1831017904613228598 snake https://www.youtube.com/watch?v=PJl4iabBEz0 https://www.youtube.com/watch?v=zFLQU70QstY https://www.youtube.com/watch?v=NUl6QikjR04 ai x trackmania reinforcement learning beats real time humans, finding some sota strategies on its own, but needing reward pushing for other ones, and it doesnt beat the creativity of tool assisted speedruns by humans, which might be just for now? it also had input accuracy limitations i wonder where could DeepMind get to if they threw 7 trillion dollars onto this problem