Voyager - An Open-Ended Embodied Agent with Large Language Models
Voyager Features
Voyager is an innovative project that introduces the first LLM (Lifelong Learning Model)-powered embodied agent in the Minecraft environment . This agent autonomously explores the Minecraft world, acquires diverse skills, and makes novel discoveries without human intervention. Voyager comprises three key components that enable its lifelong learning capabilities.
Key Features:
- Automatic Curriculum: Voyager autonomously maximizes exploration in Minecraft.
- Ever-Growing Skill Library: Voyager stores executable code for complex behaviors.
- Iterative Prompting Mechanism: Incorporates environment feedback, execution errors, and self-verification for program improvement.
- Interaction with GPT-4: Voyager utilizes GPT-4's capabilities via blackbox queries.
- Temporally Extended, Interpretable, and Compositional Skills: Voyager's skills compound rapidly and prevent catastrophic forgetting.
- Strong Lifelong Learning Capability: Exhibits exceptional proficiency in playing Minecraft and acquiring new skills.
- Generalization and Adaptation: Voyager can apply learned skills to solve novel tasks in new Minecraft worlds.
Use Cases:
- AI researchers and developers interested in embodied lifelong learning.
- Minecraft enthusiasts seeking advanced AI agents to enhance their gameplay experience.
- Educational institutions exploring AI agents for virtual learning environments.
- AI enthusiasts interested in studying the capabilities of advanced language models in complex tasks.
Voyager represents a significant step forward in embodied lifelong learning, specifically designed for the Minecraft environment.