It is 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.
It is 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 achieves this through three key components: an automatic curriculum that maximizes exploration, an ever-growing skill library of executable code for storing and retrieving complex behaviors, and an iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement. By interacting with GPT-4 via blackbox queries, Voyager bypasses the need for model parameter fine-tuning, enabling it to develop temporally extended, interpretable, and compositional skills. These skills compound its abilities rapidly while alleviating catastrophic forgetting.
Empirically, Voyager demonstrates strong in-context lifelong learning capabilities, excelling in Minecraft by obtaining 3.3x more unique items, traveling 2.3x longer distances, and unlocking key tech tree milestones up to 15.3x faster than prior state-of-the-art methods. It also generalizes effectively, utilizing its learned skill library to solve novel tasks in new Minecraft worlds where other techniques struggle. Voyager’s performance is systematically evaluated on exploration, tech tree mastery, map coverage, and zero-shot generalization to unseen tasks.
Voyager serves as a foundation for developing powerful generalist agents without requiring model parameter tuning. Its success highlights the potential of combining large language models like GPT-4 with agent software to automate complex tasks and achieve advanced problem-solving capabilities. Media coverage from outlets such as WIRED, Forbes, and TechCrunch emphasizes Voyager’s groundbreaking achievements in autonomous skill acquisition and its implications for AI development.
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