Archive · · Jun 2026 – Jun 2026 · Updated 00:08 UTC
Archive Every processed story in chronological order, with the newest coverage first. Filter by tag, source, or score to drill in.
Total · all-time 11
Avg score 6.2 ▲ 0.5 vs all tags
Stories / month Peak 8
Jun 25 Sep 25 Dec 25 Mar 26 Jun 26
Filters · 2 tag: reinforcement-learning × author: Yinglun Zhu ×
Category
All categories 1 New Models & Releases 0 Agent Frameworks & Tools 0 Agentic Coding 0 Research Papers 1 Open Source 0 Industry & Business 0 Infrastructure & MLOps 0 Tutorials & How-To 0 Regulation & Safety 0 Applications & Use Cases 0 Opinion & Analysis 0 Community & Events 0 Source kind
Any source kind 1 Primary (vendor) 0 Community (HN, Reddit, X) 0 Research (arXiv) 1 Repos (GitHub) 0 Top authors
Dae Yon Hwang, Raunaq Suri, Valentin Villecroze 1 Daoyu Wang, Qingchuan Li, Mingyue Cheng 1 Peiyang Xu, Bangzheng Li, Sijia Liu 1 Qingxu Fu, Boyin Liu, Shuchang Tao 1 Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle 1 Tao Ren, Weiyao Luo, Hui Yang 1 Yinglun Zhu 1 Yucheng Li, Huiqiang Jiang, Yang Xu 1 Top tags
#agent-framework · 1 #calibration · 1 #reasoning · 1 #reinforcement-learning · 1 #self-improvement · 1
Co-occurring tags
+#agent-framework · 1 +#calibration · 1 +#reasoning · 1 +#self-improvement · 1
1 story· Showing 1–1 · Page 1 of 1
W24 1 story · Jun 8–14
RefGRPO demonstrates that agent self-assessment can be substantially improved without any external annotation or reward model, enabling agents to act as their own verifiers grounded in environment feedback.