Author: Tristan Greene / Source: The Next Web
Electronic Arts (EA) yesterday revealed its latest title: a custom game environment for deep learning networks to learn how to play video games. In the future the “computer” player in games won’t rely on basic scripts; it’ll react to you, and play against you, using the same information and controls a human player does.
If you’re a gamer, you’ve probably played one of EA’s games. The list of hits in the company’s catalog contains some of the greatest selling franchises of all time. Many of us have grown up with games like Battlefield, Madden, and FIFA, each titles with robust computer (CPU) opponents built-in.
And, over time, those CPU players have evolved. They’ve been programmed to call in for help or take cover, often even serving as a “squad mate” that replaces human team members. But they’ve still mainly relied on pre-programmed scripts and random number generators. Once you’ve figured out the “AI” tendencies, you’re likely to find success against it. That means beating a computer player doesn’t compare to the bliss of crushing an actual person.
A CPU opponent that ‘thinks,’ however, could change that.
Researchers from EA’s Search for Extraordinary Experiences Division (SEED) set out to expand on previous work using games to train neural networks. In order to test their novel training system they built a custom 3D environment for a machine to navigate.
The problem EA is working on, mastering imperfect information games, can’t be solved in the same way that, for example, DeepMind approaches training AI to master Chess or…
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