DeepMind Open Sources 3D Game Platform Used To Test Artificial Intelligence Software

Artificial intelligence (AI) company DeepMind has open sourced a platform used to test AI software and made it available to external software developer on GitHub. Bought by Google back in 2014, DeepMind hopes the platform, which looks a lot like an old-school 3D game maze game, will accelerate research in AI.

DeepMind is famous for creating a neural network that learns how to play video games. It is used by the program AlphaGo. Earlier this year, AlphaGo made headlines after beating Go world champion Lee Sedol in the game. DeepMind is eager to rapidly improve the capability of AI technology.

Robotic hand, accessing on laptop, the virtual world of information. Concept of artificial intelligence and replacement of humans by machines.

That's the reason behind the company making DeepMind Lab available to other software developers. According to DeepMind:

"There are two parts to this research program: 1) designing ever-more intelligent agents capable of more-and-more sophisticated cognitive skills, and 2) building increasingly complex environments where agents can be trained and evaluated."

Developers can use the virtual space called DeepMind Lab to test out their AI software, which will appear in the maze as a sphere. They can then observe how the software adapts as it goes through the maze, which is procedurally generated. The map is designed to challenge the AI agent that is being tested. Some of the tasks the AI agent can perform include collecting fruit, navigating the maze and traversing dangerous passages.

New levels can be authored with off-the-shelf editor tools.

The whole point of making DeepMind Lab available to other software developers is to speed up AI research. According to DeepMind:

"There are two parts to this research program: 1) designing ever-more intelligent agents capable of more-and-more sophisticated cognitive skills, and 2) building increasingly complex environments where agents can be trained and evaluated."

You can check out the DeepMind Lab GitHub page here.


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