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HiSTEVE 1.0: New VLA Agent Excels in Minecraft Tasks

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced HiSTEVE 1.0, a novel vision-language model (VLA) agent designed to operate within open-ended games like Minecraft. This agent features a hierarchical structure with a capability-aware harness that uses structured memory and a VLM planner for task selection. HiSTEVE 1.0 demonstrates state-of-the-art performance on atomic tasks, achieving 85.0% on the MineStudio Bench and 37.4% on OpenHA, while also successfully completing complex, long-horizon tasks such as crafting an iron pickaxe from scratch. AI

IMPACT This research advances embodied AI capabilities, potentially leading to more sophisticated virtual agents for gaming and simulation.

RANK_REASON This is a research paper detailing a new model and benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

HiSTEVE 1.0: New VLA Agent Excels in Minecraft Tasks

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This is a research paper detailing a new model and benchmark. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zecong Tang, Zian Guan, Yuncheng Guo, Zhanqiu Zhang, Yiwen Guo, Bo Dai ·

    HiSTEVE 1.0: Harnessing Human-Interface VLA Agents for Open-World Games

    arXiv:2610.31162v1 Announce Type: new Abstract: Building virtual embodied agents that operate in open-ended games like human players is a long-standing goal requiring both long-horizon autonomy and reliable native-interface control. As a procedurally generated open world, Minecra…

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