WAM-OPD：世界动作模型的在线策略蒸馏
原标题：WAM-OPD: On-Policy Distillation for World Action Models
产业动态AI 66
来源：arXiv cs.RO发布时间待核实
arXiv:2608.22364v1 Announce Type: cross Abstract: World action models (WAMs) couple visual future prediction with robot action generation, but accelerated students can lose task capabilities during distillation and later encounter states that are poorly represented by offline data. We study whether on-policy distillation (OPD) can repair such a student without requiring sparse-reward reinforcement learning.