Cooperative Multi-Agent Vision-Language-Action Models via Reinforced Fine Tuning
A three-stage reinforced fine-tuning (RFT) pipeline for multi-agent VLAs is presented, which freezes the VLA and performs RL in its latent noise space and finds existing online RL for VLAs are less effective for hard multi-agent tasks, which are attributed to noisy co-exploration and unstable updates.
Rui-Xiao Xu, W. Kenny, Zhi-Qian Liu et al.
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