arXiv cs.LG
· Papers
Augmentations for Robust and Efficient Imitation Learning in Streamed Video Games
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 demonstrations. However, these demonstrations are expensive to collect and modern game-playing is often don