Autonomously explore Minecraft and develop skills continuously
Voyager is an AI agent that plays Minecraft on its own, learning new skills and exploring the world without any human help. It uses advanced language models to generate code for actions, allowing it to improve over time and handle complex tasks. This demonstrates how AI can adapt in open-ended environments, which is valuable for research and AI development.
Generates tasks to maximize exploration based on progress
Stores and retrieves complex behaviors for future reuse
Uses feedback to improve code actions continuously
Employs executable code for extended and compositional tasks
Voyager is the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores, acquires skills, and makes discoveries without human intervention.
It uses an automatic curriculum to propose tasks, a skill library to store behaviors, and iterative prompting with GPT-4 to generate and improve executable code based on environment feedback.
Voyager discovers more items, travels longer distances, and unlocks tech tree milestones faster than other methods, and it can generalize to new tasks in unseen worlds.
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Recent data shows that Voyager has 10.3K monthly visits (478.6% increase from the previous month), 65.0% bounce rate, and average 1.41 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 3 countries worldwide, led by United States contributing 90% of total traffic.
Monthly Visits
10.3K
Pages per Visit
1.41
Bounce Rate
65.0%
Average Time on Site
1m 7s
| Source | Traffic Share |
|---|---|
| Direct | 50% |
| Search | 32% |
| Social | 10% |
| Referrals | 7% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 90% |
 | 8% |
 | 3% |
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