This article explains the key points of Build, Don't Play: Self-Improving LLM Research Agents Develop a Hearthstone Battlegrounds AI That Rivals Top Players. 2026-10-24 (arXiv) Ma, Changlian, Wang, Limin. Nanjing University, Shanghai AI Laboratory Paper Github Read this article in Korean Summary The paper asks whether large language model (LLM)...

이번 글에서는 Build, Don't Play: Self-Improving LLM Research Agents Develop a Hearthstone Battlegrounds AI That Rivals Top Players 논문의 핵심 포인트만 간단히 정리한다. 2026년 10월 24일(Arxiv) Ma, Changlian, Wang, Limin. Nanjing University, Shanghai AI Laboratory 논문 링크 Github 영문판 보기 요약 이 논문은 대규모 언어 모델(LLM) 연구 에이전트가 숨겨진 정보와...

This article explains the key points of OpenGCUA: Toward a Fully Open Stack for Generalist Computer Use. 2026-10-15 (arXiv) Zhou, Hanzhang, Li, Long, Kong, Quyu, Wang, Lei, Tong, Panrong, Chen, Long, Xia, Tianyu, Zhang, Gongjie, Zhang, Xu, Liu, Chen, et al. Alibaba Token Hub, Alibaba Group Paper Read this article...

이번 글에서는 OpenGCUA: Toward a Fully Open Stack for Generalist Computer Use 논문의 핵심 포인트만 간단히 정리한다. 2026년 10월 15일(Arxiv) Zhou, Hanzhang, Li, Long, Kong, Quyu, Wang, Lei, Tong, Panrong, Chen, Long, Xia, Tianyu, Zhang, Gongjie, Zhang, Xu, Liu, Chen, et al. Alibaba Token Hub, Alibaba Group 논문 링크 영문판...

This article explains the key points of A team of Gemini 4 Argon agents beats Minecraft. 2026-10-15 (arXiv) Faldor, Maxence, Singh, Satinder, Raileanu, Roberta. Google DeepMind Paper Read this article in Korean Summary The paper tests whether general-purpose coding agents can coordinate through a day-long sequence of dependent tasks to...