Scaling Scientific Discovery Environments for Turn-Level Agentic RL
英文标题：Scaling Scientific Discovery Environments for Turn-Level Agentic RL
arXiv:2607.28990v1 Announce Type: new Abstract: Large language model agents have shown promising capabilities in data-driven scientific discovery tasks, where an agent interacts with an execution environment and produces a statistical claim. Long-horizon scientific analysis remains constrained by t
打开原文相关 3.2 · 机会 2
2.1 KB
612 B
380 B
9.1 KB
32.7 KB
22.8 KB
24.2 KB
34.7 KB
中文
arXiv:2607.28990v1 Announce Type: new Abstract: Large language model agents have shown promising capabilities in data-driven scientific discovery tasks, where an agent interacts with an execution environment and produces a statistical claim. Long-horizon scientific analysis remains constrained by t
中文全文翻译正在补齐，可先查看下方英文原文。
English / 原文
BibTeX formatted citation
×