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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

Added
2026-04-14
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manual
Source
manual
arxiv_id
2305.16291