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paper2023ReviewedOpen access

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

NeurIPS 2023

Abstract

Demonstrates a continuously learning LLM agent in Minecraft that writes and executes code, highlighting autonomous operation and containment challenges.

Categories

#embodied-agent#autonomous-learning#code-execution

Framework mappings

Cite

@inproceedings{wang2023voyager,
  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},
  booktitle = {NeurIPS 2023},
  eprint = {2305.16291},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2305.16291}
}