Click here to download the project base paper of open ended project.
Abstract:
We introduce Voyager, the first LLM-powered open ended 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 can utilize the learned skill library in a new Minecraft world to solve novel tasks from scratch, while other techniques struggle to generalize. Towards these goals, we introduce VOYAGER, the first LLM-powered embodied life-long learning agent to drive exploration, master a wide range of skills, and make new discoveries continually without human intervention in Minecraft.We open-source our full codebase and prompts at Click Here.
