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OpenAI 'Universe' Platform Provides Means to Link Image Recognition Vehicular AI Agents Into GTA 5

posted by on Tuesday January 17 2017, @08:56PM   Printer-friendly
from the this-is-the-the-way-the-world-ends dept.

An Anonymous Coward writes:

An integration of OpenAI's Universe AI platform with GTA 5 has been achieved and open sourced.

This video demonstrates the integration. The window at the top left is what the AI agent is seeing. The window at the bottom left outputs the agent's state. And the main window is just an eye candy rendering with a detached camera. A surprisingly competent sample agent trained using imitation learning over just 600,000 frames (about 21 hours) of the game's AI driving is available. Here is a first person view of the sample agent cruising around. Some major potential here and it's great to see open source software and AI meshing so well.

Videos created by DeepDrive.

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  • (Score: 0) by Anonymous Coward on Wednesday January 18 2017, @04:50AM

    by Anonymous Coward on Wednesday January 18 2017, @04:50AM (#455239)

    Their goal is not to program a vehicle to drive in GTA, but to develop general purpose algorithms that 'program themselves' colloquially speaking. The day this platform is capable of creating a compelling and viable driving AI based on 600,000 frames of driving is the day you could literally take video of you driving around in the real world in a variety of conditions and environments - apply the same learning system and have a self driving vehicle ready to go. Beyond that, the imitation learning agent was not meant to be 'good.' Even the training was completely minimalized in volume. It was specifically a starting off point for further research and development. The fact there's even a notion of driving on the road (which the AI has no hard-coded notion of) or not crashing into other things, again something the AI has no notion of is incredible.

    Or take the thing you mention about the AI slowly creeping up to the other vehicle when at a stop and then ultimately getting too close. Once again the AI has no hard coded means of estimating distance from another object or even whether that is an object that it should go around or wait behind. This is all 'emergent' from the training and that is all incredibly impressive.