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arXiv 2610.08215 · cs.AI · 2026-10-06

Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments?

Yibo Li, Jinhang Qiu, Zhi Zheng, Qianyun Guo, Jiaying Wu, Shuo Ji, Bryan Hooi

National University of Singapore

In latest · #80 2026-W41 #7 Added on 2026-10-21

One-line takeaway

Learn2Play Bench uses text games with novel or counterintuitive rules to test whether agents learn from experience.

Learn2Play Bench 用规则新奇甚至反直觉的文字游戏,检验 Agent 能否从经验中学习。

153HF upvotes
13GitHub stars
1Citations (Semantic Scholar)
61.8Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

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.

Data updated: Latest AI papers(UTC+8)