Researchers propose augmentations for robust and efficient imitation learning in streamed video games.
Read the original at arxiv.org→arXiv:2607.14200v1 Announce Type: new Abstract: Imitation learning is an appealing way to scale game-playing agents to complex 3D environments by training policies to map visual observations to actions from human...
Original headline: "Augmentations for Robust and Efficient Imitation Learning in Streamed Video Games"