arXiv 2609.35690 · cs.RO · 2026-09-28
Agent Priors-guided Policy Learning
Puming Jiang, Tianrun Hu, Haozhe Du, Yibo Li, Zhiwei Xue, Xinhu Li, Harold Soh
National University of Singapore
在最新榜 #185 本站收录于 2026-10-21
一句话要点
把每个技能策略的结构先验纳入 Agent 的技能接口，让少样本机器人同时做到组合泛化和技能泛化。
Exposes each skill policy's structural prior to the agent so few-shot robots generalise both compositionally and per skill.
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主题与学科
同主题：机器人与具身
- Has GPT-6-Astra Achieved Embodied Intelligence? ▲459
- In-Context Learning for Robots: Methods and Applications ▲388
- HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents ▲313
- GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives ▲310
- Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience ▲179
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。