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,…
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- 2026-10-22 04:00 · arXiv cs.AI
Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds