Google Dreamer’s artificial intelligence has reached a professional level in Minecraft!

The Google Deepmind Research Team has recently unveiled a major achievement in the field of artificial intelligence. The company has developed a new artificial intelligence called Dreamer, which has been able to become professional in only 9 days without any direct human education.

According to the Interestingengineering report and according to the Nature article, the study by Google Deepmind researchers along with a team from the University of Toronto refers to new methods of machine learning and artificial intelligence that can find wider applications in the future.

Dreamer AI and new self -learning methods

Unlike previous artificial intelligence algorithms that needed human -made data and educational films to learn, Dreamer began to learn completely without receiving the input from the Minecraft game. This algorithm was able to extract diamonds in less than 30 minutes like humans in less than 30 minutes, through the reinforcement learning system, especially by focusing on collecting in -game diamonds without any guidance.

This new learning method, compared to the old methods based on a large volume of human data, allowed the algorithm to reach the professional level in the Minecraft game more quickly. Every 30 minutes, the research team resets the game environment, which allowed Dreamer to constantly get used to new conditions and find new strategies to succeed in the gaming world.

Dreamer AI and imagination capability to learn faster

One of the prominent features that made Dreamer success was its ability to simulate future scenarios. Instead of random testing strategies, this algorithm was able to build a mental model of its environment and improve its decisions based on predicting possible results. This feature allows Dreamer to choose more optimal paths to achieve its goal and quickly reach the advanced level.

This achievement clearly shows that there have been great progress in the field of artificial intelligence that can be used in various areas, including robotics, automation and complex problems in various industries. In particular, Dreamer can help robots and artificial intelligence systems learn new skills in the real world and empower a variety of tasks including automatic routing, logistics optimization and intelligent interaction with their environment.