ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

ENPIRE framework enables autonomous robotics research through a closed-loop system that automates policy improvement via environment feedback, policy refinement, and evolutionary c…

Hugging Face · Daily Papers ·Wenli Xiao, Jia Xie · ·▲ 11 upvotes

Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.

Autores: Wenli Xiao, Jia Xie, Tonghe Zhang, Haotian Lin, Letian "Max" Fu, Haoru Xue

  • 11 upvotes da comunidade
  • Temas: coding agents, policy improvement, environment module, rollout module, evolution module, physical feedback routine

Resumo

Resumo original (em inglês), extraído do paper:

ENPIRE framework enables autonomous robotics research through a closed-loop system that automates policy improvement via environment feedback, policy refinement, and evolutionary code optimization.

Ler o paper completo no Hugging Face →

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