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Agents · Robotics

Voyager

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First page
Voyager
The curator’s take

An LLM-powered embodied lifelong learning agent in Minecraft exploring autonomously.

Key points
01

Skill library: Maintains a growing library of skills written as code - new skills are composed from existing ones, creating cumulative learning.

02

Automatic curriculum: The LLM proposes its own curriculum of tasks, driving open-ended exploration without human intervention.

03

GPT-4 integration: Uses GPT-4 for both planning and skill generation, demonstrating the power of modern LLMs as agent cognitive cores.

04

Agent research milestone: A landmark agent paper showing LLM-powered agents can exhibit autonomous, cumulative learning in complex environments.

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