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

LLM代理构建出卓越的《炉石传说》AI，超越顶尖玩家 · 追踪4个来源

作者 PulseAugur 编辑部 · [4 个来源] ·

研究人员开发了AutoTavern，一个自改进的LLM代理系统，能够自主创建《炉石传说：酒馆战棋》的功能模拟器并训练一个强化学习代理。该AI代理TavernAgent在实时游戏天梯上达到了约15,000的评分，表现优于顶尖人类玩家。此外，TavernAgent在基准测试中表现出更优越的性能，在91%的对局任务中给出答案，而其他前沿LLM为63%，并且决策速度显著更快。 AI

影响 展示了LLM代理自主开发复杂系统并在专业领域达到超人性能的能力。

排序理由 该集群报道了一篇详细介绍新型AI系统及其在特定任务上性能的研究论文，而非商业产品发布或行业范围内的重大事件。

在 arXiv cs.MA (Multiagent) 阅读 →

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LLM代理构建出卓越的《炉石传说》AI，超越顶尖玩家 · 追踪4个来源

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该集群报道了一篇详细介绍新型AI系统及其在特定任务上性能的研究论文，而非商业产品发布或行业范围内的重大事件。
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model release, product, other
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完整方法见我们的编辑标准。

报道来源 [4]

  1. arXiv cs.AI TIER_1 English(EN) · Changlian Ma, Limin Wang ·

    构建而非玩乐：自改进LLM研究代理开发出可媲美顶尖玩家的《炉石传说：酒馆战棋》AI

    arXiv:2610.33845v1 Announce Type: new Abstract: 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 shops and battles, hidden informati…

  2. arXiv cs.AI TIER_1 English(EN) · Harish Santhanalakshmi Ganesan ·

    Infinity Machine：一个可自我改进的AI研究代理

    arXiv:2610.35579v1 Announce Type: new Abstract: We present the Infinity Machine, a self-improving AI agent that we use for research on problems whose answers aprogram or data can check. Each candidate solution is produced by a full tool-using agent that works for up to an hour in…

  3. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Limin Wang ·

    构建而非游玩：自改进LLM研究代理开发出可与顶尖玩家匹敌的《炉石传说》战棋AI

    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 shops and battles, hidden information and nearly a thousand interacting cards. We p…

  4. Hugging Face Daily Papers TIER_1 English(EN) ·

    构建而非玩乐：自改进LLM研究代理开发出可媲美顶尖玩家的《炉石传说：酒馆战棋》AI

    AutoTavern demonstrates that self-improving LLM research agents can autonomously build a faithful game simulator and train a reinforcement learning agent that surpasses top human players in Hearthstone Battlegrounds.

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