Cooperative Multi-Agent Vision-Language-Action Models via Reinforced Fine Tuning
We study reinforcement learning (RL) methods for cooperative multi-agent Vision-Language-Action (VLA) models. This problem is challenging because VLAs are pretrained on large-scale single-agent data and therefore lack the fine-grained coordination skills required for inter-robot collaboration. Supervised fine-tuning (S...
Rui-Xiao Xu, W. Kenny, Zhi-Qian Liu et al.
· 0 citations