Voyager is the first LLM-powered embodied lifelong learning agent in Minecraft that autonomously explores, develops new skills, and discovers novel items without human intervention. It utilizes an automatic curriculum that maximizes exploration opportunities, a skill library for complex behavior management, and an iterative prompting mechanism that leverages environment feedback for program improvement. Interacting with GPT-4, Voyager enables robust lifelong learning by exploring new environments, adapting strategies, and committing skills to memory. Empirical results demonstrate Voyager's superior performance in discovering unique items, traversing longer distances, and efficiently solving tasks in novel settings, outperforming traditional agents significantly.
• automatic curriculum for enhanced exploration
• empirical superior performance in minecraft
• strong zero-shot generalization capability
• utilizes gpt-4 for interactions
• self-driven exploration and skill development
• iterative prompting mechanism for program improvement
• skill library for complex behaviors
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