Voyager Minedojo

What is Voyager Minedojo?

Voyager Minedojo is an embodied lifelong learning agent powered by large language models like GPT-4, specialized in exploring Minecraft autonomously, acquiring a variety of skills, and making continuous discoveries without human intervention. It comprises an automatic curriculum for exploration, a skill library for storing and retrieving complex behaviors, and an iterative prompting mechanism using code as an action space. Voyager outperforms previous state-of-the-art methods in terms of discovering unique items, mastering the Minecraft tech tree, covering extensive map areas, and generalizing efficiently to new tasks in a fresh Minecraft world.

Who created Voyager Minedojo?

Voyager Minedojo was created by Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi "Jim" Fan, and Anima Anandkumar. The company details involve collaboration between NVIDIA, Caltech, UT Austin, Stanford, and ASU. The project was launched on June 18, 2024. The team introduced Voyager as the first Large Language Model (LLM)-powered embodied lifelong learning agent in Minecraft, designed to explore continuously, acquire diverse skills, and make new discoveries without human intervention.

What is Voyager Minedojo used for?

• Continuous exploration and discovery of new Minecraft items and skills
• Acquisition of diverse abilities without human intervention
• Efficiently making novel discoveries
• Utilizing automatic curriculum for self-driven exploration
• Storing and retrieving complex behaviors using a skill library
• Generating executable code through an iterative prompting mechanism
• Interacting with GPT-4 via blackbox queries for control
• Preventing catastrophic forgetting by building an ever-growing skill library
• Efficient zero-shot generalization to novel tasks in new Minecraft worlds
• Outperforming previous tools in terms of unique item discovery, distance coverage, and tech tree progression
• Continuous exploration in Minecraft environment
• Acquisition of diverse skills
• Novel discoveries without human intervention
• Utilization of an automatic curriculum for guiding exploration
• Storage and retrieval of complex behaviors in a skill library
• Generation of executable code through an iterative prompting mechanism
• Interaction with GPT-4 through blackbox queries
• Prevention of catastrophic forgetting through skill library
• Efficient generalization to novel tasks
• Refinement of skills over time

Who is Voyager Minedojo for?

• AI engineers
• Game developers
• Robotics Engineers
• NLP researchers
• AI researchers

How to use Voyager Minedojo?

To effectively use Voyager Minedojo, follow these steps:

1. Automatic Curriculum: The tool utilizes an automatic curriculum generated by GPT-4 to maximize exploration, focusing on discovering diverse aspects in Minecraft.

2. Skill Library: Voyager maintains a skill library where new skills can be added, indexed by their descriptions. These skills can be retrieved for future use in similar situations, enhancing the agent's capabilities over time.

3. Iterative Prompting Mechanism: This mechanism incorporates environment feedback and execution errors to improve program performance. It involves self-verification where GPT-4 acts as a critic, providing feedback on program tasks.

4. Experiments: Voyager's performance is evaluated in terms of exploration, tech tree mastery, map coverage, and zero-shot generalization to new tasks in Minecraft. It consistently outperforms baselines in these aspects.

5. Efficiency Metrics: Voyager excels in exploration, tech tree mastery, map traversal, and zero-shot generalization. It outperforms other techniques in discovering unique items, mastering the tech tree, and efficiently solving tasks in novel environments.

By following these steps and understanding the key components of Voyager Minedojo, users can harness its capabilities to explore Minecraft, master various skills, and make continuous discoveries without human intervention .