InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation

  • 类型:arxiv
  • 标识:2610.02196
  • 链接:https://arxiv.org/abs/2610.02196
  • 主分类:engineering
  • 形态:method
  • TLDR:We study test-time evolution for humanoid loco-manipulation: solving tasks that a controller was never trained for by repurposing its existing skills, improving from its own attempts, and retaining what it learns, without retraining. Our key insight is that a broad controller already holds much of the competence a new task needs, and that this competence becomes accessible through an interface between planning and control that is expressive enough to specify contact-rich, multi-stage interactions, yet executable and measurable enough that execution feedback can guide planning from experience.
  • 待LLM分类:是
  • 来源文件:
  • /inbox/tom/_candidates/2026-10-02-agent-rag-longcontext-candidates.json