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paper reviewed open access llmsec-2025-00022
Voyager: An Open-Ended Embodied Agent with Large Language Models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, Anima Anandkumar
2023 — NeurIPS 2023 800 citations
Abstract
Demonstrates a continuously learning LLM agent in Minecraft that writes and executes code, highlighting autonomous operation and containment challenges.
Categories
Tags
embodied-agentautonomous-learningcode-execution
Framework Mappings
OWASP Agentic: AGT09
Cite This Resource
@article{llmsec202500022,
title = {Voyager: An Open-Ended Embodied Agent with Large Language Models},
author = {Guanzhi Wang and Yuqi Xie and Yunfan Jiang and Ajay Mandlekar and Chaowei Xiao and Yuke Zhu and Linxi Fan and Anima Anandkumar},
year = {2023},
journal = {NeurIPS 2023},
url = {https://arxiv.org/abs/2305.16291},
} Metadata
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- 2026-04-14
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- manual
- arxiv_id
- 2305.16291