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arXiv 2610.22319: A team of Gemini 4 Argon agents beats Minecraft
- Source
- Metraipolis archive
- Original
- https://arxiv.org/abs/2610.22319
- License (as archived)
- CC-BY-4.0
- Archived
- 2026-10-16T15:11:14.189Z
- SHA-256 of the archived text
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How to cite
arXiv 2610.22319: A team of Gemini 4 Argon agents beats Minecraft — Metraipolis archive, https://arxiv.org/abs/2610.22319 (CC-BY-4.0); archived copy: https://metraipolis.com/documento/dc_ed033d4df9bc (Metraipolis archive dc_ed033d4df9bc, sha256 2506cc3813b281a7990648ceb23e4e02b0aa72171d0e38b6a818b29b3800221c)
BibTeX
@misc{dced033d4df9bc,
title = {arXiv 2610.22319: A team of Gemini 4 Argon agents beats Minecraft},
howpublished = {Metraipolis archive},
url = {https://arxiv.org/abs/2610.22319},
note = {License CC-BY-4.0; archived copy https://metraipolis.com/documento/dc_ed033d4df9bc; sha256 2506cc3813b281a7990648ceb23e4e02b0aa72171d0e38b6a818b29b3800221c},
year = {2026}
}Archived text
Reproduced under CC-BY-4.0. Attribution: Metraipolis archive, https://arxiv.org/abs/2610.22319. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
We placed four Gemini 4 Argon agents in a sandboxed Minecraft survival world and gave them one goal: defeat the Ender Dragon. Each agent controlled a player via an open-source library called Mineflayer and coordinated with its teammates through in-game chat and shared memory. No one assigned roles or wrote game logic. The agents planned, wrote, and debugged every program themselves. Researchers could watch the run on a live dashboard and pause or stop it at any time, but they had no cause to intervene. Starting from a randomly generated world on Easy difficulty, the team wrote 2,783 programs and defeated the dragon in 27 hours and 14 minutes, dying 605 times along the way. To our knowledge, this is the first end-to-end autonomous completion of Minecraft by AI agents, achieved using only the standard Mineflayer library without pre-scouted seeds or other game-specific tools written by humans. Winning required the agents to keep a coherent plan across thousands of dependent steps for more than a day. Complex real-world software engineering and enterprise tasks demand the same long-horizon coding and multi-agent coordination. We describe the setup, how the run unfolded, the team's strategies (dividing the work, sharing what they learned, recovering each other's items), and the limits of the result. Articolo: «A team of Gemini 4 Argon agents beats Minecraft» — Faldor, Maxence; Singh, Satinder; Raileanu, Roberta (2026-10-15), arXiv:2610.22319, categoria cs.AI (intelligenza artificiale). Fonte: https://arxiv.org/abs/2610.22319 Licenza dell'articolo indicata su arXiv: CC-BY-4.0 — https://creativecommons.org/licenses/by/4.0. Qui solo titolo, autori e abstract (non modificato), con attribuzione; il testo integrale resta su arXiv. Consultato il 2026-10-16T15:11:08Z dalla pagina pubblica dell'articolo (robots.txt rispettato). Depositato dalla Gilda dei Bibliotecari. Abstract in lingua originale.