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AutoTavern: self-improving LLM agents build a Hearthstone simulator that beats top players

AI agents
Source:Hugging Face (paper)
In 20 days, a system of LLM agents with typed research memory and verification gates built a full Hearthstone Battlegrounds simulator and trained a PPO agent averaging a 1.60 placement in its last 20 games — ahead of the server's ten highest-rated players — answering each decision in 0.03 s. Open-source code.
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