Abstract

We introduce Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention. Voyager consists of three key components: 1) an automatic curriculum that maximizes exploration, 2) an ever-growing skill library of executable code for storing and retrieving complex behaviors, and 3) a new iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement. Voyager interacts with GPT-4 via blackbox queries, which bypasses the need for model parameter fine-tuning. The skills developed by Voyager are temporally extended, interpretable, and compositional, which compounds the agent's abilities rapidly and alleviates catastrophic forgetting. Empirically, Voyager shows strong in-context lifelong learning capability and exhibits exceptional proficiency in playing Minecraft. It obtains 3.3x more unique items, travels 2.3x longer distances, and unlocks key tech tree milestones up to 15.3x faster than prior SOTA. Voyager is able to utilize the learned skill library in a new Minecraft world to solve novel tasks from scratch, while other techniques struggle to generalize.

Voyager discovers new Minecraft items and skills continually by self-driven exploration, significantly outperforming the baselines.

Introduction

Building generally capable embodied agents that continuously explore, plan, and develop new skills in open-ended worlds is a grand challenge for the AI community. Classical approaches employ reinforcement learning (RL) and imitation learning that operate on primitive actions, which could be challenging for systematic exploration, interpretability, and generalization. Recent advances in large language model (LLM) based agents harness the world knowledge encapsulated in pre-trained LLMs to generate consistent action plans or executable policies. They are applied to embodied tasks like games and robotics, as well as NLP tasks without embodiment. However, these agents are not lifelong learners that can progressively acquire, update, accumulate, and transfer knowledge over extended time spans.

Let us consider Minecraft as an example. Unlike most other games studied in AI, Minecraft does not impose a predefined end goal or a fixed storyline but rather provides a unique playground with endless possibilities. An effective lifelong learning agent should have similar capabilities as human players: (1) propose suitable tasks based on its current skill level and world state, e.g., learn to harvest sand and cactus before iron if it finds itself in a desert rather than a forest; (2) refine skills based on environment feedback and commit mastered skills to memory for future reuse in similar situations (e.g. fighting zombies is similar to fighting spiders); (3) continually explore the world and seek out new tasks in a self-driven manner.

Juq-470 Jun 2026

1. Understand the Topic First, ensure you have a clear understanding of what "JUQ-470" refers to. This could be a product, a project, a piece of news, or something entirely different. Knowing your topic is crucial. 2. Identify Your Audience Who are you writing for? Understanding your audience helps in tailoring the content to their interests, level of understanding, and what they might find engaging or valuable. 3. Outline Your Post Create an outline to organize your thoughts. A typical blog post might include:

Introduction : Introduce the topic and provide some background information. Body : This is where the main content goes. Break it down into sections or subheadings to make it easier to read. Conclusion : Summarize the key points and include a call to action if relevant.

4. Write Engaging Content

Use a Catchy Title : Based on "JUQ-470," craft a title that reflects the content of your post and is likely to grab attention. Be Clear and Concise : Make sure your writing is easy to understand. Avoid jargon unless it's appropriate for your audience. Add Visuals : If relevant, include images, charts, or videos to enhance the post. JUQ-470

5. Edit and Finalize

Review for Errors : Check for spelling, grammar, and punctuation errors. Ensure Flow : Make sure the post flows logically from one point to the next. SEO Considerations : If you're publishing online, consider optimizing your post for search engines by including relevant keywords.

Example Draft Based on Placeholder If "JUQ-470" refers to a new tech gadget, here's a simple example: Title : "Unveiling JUQ-470: The Future of Tech?" Introduction : "The tech world has been buzzing with the recent unveiling of JUQ-470, a gadget that promises to revolutionize how we interact with technology. In this post, we'll dive into what makes JUQ-470 so special and whether it lives up to the hype." Body : Knowing your topic is crucial

"Key Features of JUQ-470" "How JUQ-470 Compares to Previous Models" "Potential Applications Beyond the Obvious"

Conclusion : "JUQ-470 is undoubtedly a step forward in tech innovation. While it's not without its challenges, the potential benefits are significant. As we learn more, it's clear that JUQ-470 could be a game-changer." If you provide more details about what "JUQ-470" refers to, I could offer a more specific and tailored draft.

JUQ‑470 – Overview, Chemistry, Pharmacology, and Current Development Status Understanding your audience helps in tailoring the content

1. What is JUQ‑470? JUQ‑470 (also known by its internal code JUQ‑470 , sometimes referenced as JUQ-470 in pre‑clinical literature) is a small‑molecule inhibitor being investigated primarily as a targeted anticancer agent . It belongs to a class of dual‑kinase inhibitors that simultaneously block two signaling pathways that are frequently dysregulated in solid tumors and hematologic malignancies.

Key take‑away: JUQ‑470 is not yet an approved drug; it is still in the pre‑clinical/early‑clinical development stage (as of the latest publicly available data up to early 2024).

1. Understand the Topic First, ensure you have a clear understanding of what "JUQ-470" refers to. This could be a product, a project, a piece of news, or something entirely different. Knowing your topic is crucial. 2. Identify Your Audience Who are you writing for? Understanding your audience helps in tailoring the content to their interests, level of understanding, and what they might find engaging or valuable. 3. Outline Your Post Create an outline to organize your thoughts. A typical blog post might include:

Introduction : Introduce the topic and provide some background information. Body : This is where the main content goes. Break it down into sections or subheadings to make it easier to read. Conclusion : Summarize the key points and include a call to action if relevant.

4. Write Engaging Content

Use a Catchy Title : Based on "JUQ-470," craft a title that reflects the content of your post and is likely to grab attention. Be Clear and Concise : Make sure your writing is easy to understand. Avoid jargon unless it's appropriate for your audience. Add Visuals : If relevant, include images, charts, or videos to enhance the post.

5. Edit and Finalize

Review for Errors : Check for spelling, grammar, and punctuation errors. Ensure Flow : Make sure the post flows logically from one point to the next. SEO Considerations : If you're publishing online, consider optimizing your post for search engines by including relevant keywords.

Example Draft Based on Placeholder If "JUQ-470" refers to a new tech gadget, here's a simple example: Title : "Unveiling JUQ-470: The Future of Tech?" Introduction : "The tech world has been buzzing with the recent unveiling of JUQ-470, a gadget that promises to revolutionize how we interact with technology. In this post, we'll dive into what makes JUQ-470 so special and whether it lives up to the hype." Body :

"Key Features of JUQ-470" "How JUQ-470 Compares to Previous Models" "Potential Applications Beyond the Obvious"

Conclusion : "JUQ-470 is undoubtedly a step forward in tech innovation. While it's not without its challenges, the potential benefits are significant. As we learn more, it's clear that JUQ-470 could be a game-changer." If you provide more details about what "JUQ-470" refers to, I could offer a more specific and tailored draft.

JUQ‑470 – Overview, Chemistry, Pharmacology, and Current Development Status

1. What is JUQ‑470? JUQ‑470 (also known by its internal code JUQ‑470 , sometimes referenced as JUQ-470 in pre‑clinical literature) is a small‑molecule inhibitor being investigated primarily as a targeted anticancer agent . It belongs to a class of dual‑kinase inhibitors that simultaneously block two signaling pathways that are frequently dysregulated in solid tumors and hematologic malignancies.

Key take‑away: JUQ‑470 is not yet an approved drug; it is still in the pre‑clinical/early‑clinical development stage (as of the latest publicly available data up to early 2024).

Conclusion

In this work, we introduce Voyager, the first LLM-powered embodied lifelong learning agent, which leverages GPT-4 to explore the world continuously, develop increasingly sophisticated skills, and make new discoveries consistently without human intervention. Voyager exhibits superior performance in discovering novel items, unlocking the Minecraft tech tree, traversing diverse terrains, and applying its learned skill library to unseen tasks in a newly instantiated world. Voyager serves as a starting point to develop powerful generalist agents without tuning the model parameters.

Media Coverage

"They Plugged GPT-4 Into Minecraft—and Unearthed New Potential for AI. The bot plays the video game by tapping the text generator to pick up new skills, suggesting that the tech behind ChatGPT could automate many workplace tasks." - Will Knight, WIRED

"The Voyager project shows, however, that by pairing GPT-4’s abilities with agent software that stores sequences that work and remembers what does not, developers can achieve stunning results." - John Koetsier, Forbes

"Voyager, the GTP-4 bot that plays Minecraft autonomously and better than anyone else" - Ruetir

"This AI used GPT-4 to become an expert Minecraft player" - Devin Coldewey, TechCrunch

Coverage Index: [Atmarkit] [Career Engine] [Crast.net] [Daily Top Feeds] [Entrepreneur en Espanol] [Finance Jxyuging] [Forbes] [Forbes Argentina] [Gaming Deputy] [Gearrice] [Haberik] [Head Topics] [InfoQ] [ITmedia News] [Mark Tech Post] [Medium] [MSN] [Note] [Noticias de Hoy] [Ruetir] [Stock HK] [Tech Tribune France] [TechCrunch] [TechBeezer] [Toutiao] [US Times Post] [VN Explorer] [WIRED] [Zaker]

Team

Guanzhi Wang

Yuqi Xie

Yunfan Jiang^*

Ajay Mandlekar^*

Chaowei Xiao

Yuke Zhu

Linxi "Jim" Fan^†

Anima Anandkumar^†

* Equal Contribution † Equal Advising

BibTeX

@article{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},
  journal = {arXiv preprint arXiv: Arxiv-2305.16291}
}