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Build, Don't Play: Self-Improving LLM Research Agents Develop a Hearthstone Battlegrounds AI That Rivals Top Players

Can LLM agents carry a hard real-world problem from raw data to a system that holds its own against people? We study this in Hearthstone Battlegrounds, an eight-player auto-battler with stochastic sho

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#26Rank now ▼1
#22Best rank
155Score · 24h
59Score · 7d
1Days on list
5Snapshots
Oct 27, 2026First seen
▲ 9Latest metric

Summary

Build, Don't Play: Self-Improving LLM Research Agents Develop a Hearthstone Battlegrounds AI That Rivals Top Players was first seen on Hugging Face · Daily papers on Oct 27, 2026. Since then it appeared in 5 hourly checks across 1 day, peaking at #22 on Oct 27, 07:28 UTC. It is #26 on the list right now.

This page has little history so far; it is kept out of search results until the item has trended on at least two days.

Rank history

Position on Hugging Face · Daily papers at every check (lower is better).

#1#11#20#30 07:2809:2811:2813:2815:28 Oct 27, 07:28 UTC · #22Oct 27, 09:28 UTC · #22Oct 27, 11:28 UTC · #24Oct 27, 13:28 UTC · #25Oct 27, 15:28 UTC · #26

Last 14 days

Best rank per day (UTC).

Oct 14today

Metric history

▲ as reported by Hugging Face.

0369 07:2809:2811:2813:2815:28 Oct 27, 07:28 UTC · 6Oct 27, 09:28 UTC · 8Oct 27, 11:28 UTC · 8Oct 27, 13:28 UTC · 9Oct 27, 15:28 UTC · 9

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Build, Don't Play: Self-Improving LLM Research Agents Develop a Hearthstone Battlegrounds AI That Rivals Top Players on TrendBoard
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