Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Large language models leverage internet-scale text data, yet embodied AI remains constrained by the prohibitive costs of physical trajectory collection. Desktop environments — particularly gaming — offer a compelling alternative: they provide rich sensorimotor interactions at scale while maintaining the structured observation-action […]
Continue.. D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI