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
In latest · #185 Added on 2026-10-21
One-line takeaway
Exposes each skill policy's structural prior to the agent so few-shot robots generalise both compositionally and per skill.
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。
Read on arXiv PDF Hugging Face discussion Code Project page
Topics & disciplines
More on Robotics & embodied AI
- 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
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.