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.

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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.

Macos Mojave 1014 6 Dmg Google Drive Exclusive Jun 2026

macOS Mojave 10.14.6 remains a viable, stable operating system for many Mac users—especially those who rely on older software or prefer Mojave’s feature set. With this exclusive Google Drive download, you can bypass App Store frustrations and install the final, most polished version of Mojave on any compatible Mac.

Before downloading, ensure your target hardware or environment matches these specifications: Requirement macOS_Mojave_10.14.6.dmg File Size Approximately 5.8 GB to 6.5 GB Minimum RAM 4 GB (8 GB recommended) Storage Space At least 12.5 GB of free space Compatible Mac Hardware MacBook models from early 2015 or newer MacBook Air models from mid-2012 or newer MacBook Pro models from mid-2012 or newer Mac mini models from late 2012 or newer iMac models from late 2012 or newer iMac Pro (all models)

While Apple officially provides installers through the App Store, many users prefer a direct DMG link from Google Drive for several reasons:

Before proceeding with the installation, verify that your target machine supports macOS Mojave. Early 2015 or newer MacBook Air: Mid 2012 or newer MacBook Pro: Mid 2012 or newer Mac mini: Late 2012 or newer iMac: Late 2012 or newer iMac Pro: 2017

Large file transfers can resume if your connection drops.

If you plan to install this on a or a physical drive ?

Once downloaded, always verify the MD5 or SHA256 checksum to ensure the DMG file is not corrupted or tampered with.

When downloaded from a reliable Google Drive source, the exclusive 10.14.6 DMG typically contains the full, untampered file directly cloned from the Mac App Store. Technical Specifications for macOS Mojave 10.14.6

Google’s infrastructure bypasses the throttling often found on archival servers.

For many Mac users, macOS Mojave 10.14.6 represents a perfect blend of modern features and classic stability. As the final major update of the Mojave era, version 10.14.6 remains a popular choice—especially for those who rely on 32-bit applications, which are no longer supported in later macOS versions. Finding a reliable download link for the full installer DMG can be challenging, but this guide provides an exclusive, direct Google Drive download along with everything you need to install it safely and successfully.

Google Drive has become an exclusive platform for downloading macOS Mojave 10.14.6 DMG files. This cloud storage service offers a seamless and convenient way to access and install the update. With Google Drive, users can:

macOS Mojave 10.14.6 remains a viable, stable operating system for many Mac users—especially those who rely on older software or prefer Mojave’s feature set. With this exclusive Google Drive download, you can bypass App Store frustrations and install the final, most polished version of Mojave on any compatible Mac.

Before downloading, ensure your target hardware or environment matches these specifications: Requirement macOS_Mojave_10.14.6.dmg File Size Approximately 5.8 GB to 6.5 GB Minimum RAM 4 GB (8 GB recommended) Storage Space At least 12.5 GB of free space Compatible Mac Hardware MacBook models from early 2015 or newer MacBook Air models from mid-2012 or newer MacBook Pro models from mid-2012 or newer Mac mini models from late 2012 or newer iMac models from late 2012 or newer iMac Pro (all models)

While Apple officially provides installers through the App Store, many users prefer a direct DMG link from Google Drive for several reasons:

Before proceeding with the installation, verify that your target machine supports macOS Mojave. Early 2015 or newer MacBook Air: Mid 2012 or newer MacBook Pro: Mid 2012 or newer Mac mini: Late 2012 or newer iMac: Late 2012 or newer iMac Pro: 2017

Large file transfers can resume if your connection drops.

If you plan to install this on a or a physical drive ?

Once downloaded, always verify the MD5 or SHA256 checksum to ensure the DMG file is not corrupted or tampered with.

When downloaded from a reliable Google Drive source, the exclusive 10.14.6 DMG typically contains the full, untampered file directly cloned from the Mac App Store. Technical Specifications for macOS Mojave 10.14.6

Google’s infrastructure bypasses the throttling often found on archival servers.

For many Mac users, macOS Mojave 10.14.6 represents a perfect blend of modern features and classic stability. As the final major update of the Mojave era, version 10.14.6 remains a popular choice—especially for those who rely on 32-bit applications, which are no longer supported in later macOS versions. Finding a reliable download link for the full installer DMG can be challenging, but this guide provides an exclusive, direct Google Drive download along with everything you need to install it safely and successfully.

Google Drive has become an exclusive platform for downloading macOS Mojave 10.14.6 DMG files. This cloud storage service offers a seamless and convenient way to access and install the update. With Google Drive, users can:

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}
}