Categories: AI/ML News

Google’s AI Dreamer learns how to self-improve over time by mastering Minecraft

A trio of AI researchers at Google’s Google DeepMind, working with a colleague from the University of Toronto, report that the AI algorithm Dreamer can learn to self-improve by mastering Minecraft in a short amount of time. In their study published in the journal Nature, Danijar Hafner, Jurgis Pasukonis, Timothy Lillicrap and Jimmy Ba programmed the AI app to play Minecraft without being trained and to achieve an expert level in just nine days.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

No more Sora ..?

submitted by /u/Affectionate_Fee232 [link] [comments]

23 hours ago

Pentagon’s ‘Attempt to Cripple’ Anthropic Is Troubling, Judge Says

During a hearing Tuesday, a district court judge questioned the Department of Defense’s motivations for…

1 day ago

Study finds AI privacy leaks hinge on a few high-impact neural network weights

Researchers have discovered that some of the elements of AI neural networks that contribute to…

1 day ago

Beyond the Vector Store: Building the Full Data Layer for AI Applications

If you look at the architecture diagram of almost any AI startup today, you will…

1 day ago

7 Steps to Mastering Memory in Agentic AI Systems

Memory is one of the most overlooked parts of agentic system design.

1 day ago

Why Agents Fail: The Role of Seed Values and Temperature in Agentic Loops

In the modern AI landscape, an agent loop is a cyclic, repeatable, and continuous process…

1 day ago