era-embodied-agents

【数据与研究】Transform vision-language models into embodied agents through two stages: learning embodied priors from trajectory-augmented data with LLM reasoning, then online RL with self-summarization and dense rewards for long-horizon tasks.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准