Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds

arXiv:2610.28698v1 Announce Type: new Abstract: Scaling data, diversity and model capacity has improved embodied learning in physical environments, where diverse experiences remain grounded in shared physical laws. Whether these gains extend to virtual worlds with different visual styles, dynamics,

arXiv cs.AIDonnerstag 06:00 · 22.10.1 Min. Lesezeit