Researchers use Overcooked to train AI to be a better gaming buddy

pcgamer.com:

DeepMind researchers have been using the chaotic cooking game Overcooked(opens in new tab) to teach AI to better collaborate with humans. MIT researchers have followed suit, gifting their AI the ability to distinguish between a diverse range of play-styles. What's amazing is that it's actually working—the humans involved actually preferred playing with the AI.

Have you ever been dropped into a game with strangers only to find their play-style totally upends your own? There's a reason we're better at gaming with people we know—they get us. As a team, you make a point of complementing each other's play-style so you can cover all bases, and win. 

Generally, an AI models' sole objective in gaming is to maximise its final score, screw the rest. That's why AI is great at single player competitive games, but not so much at collaborating. As we know, there's more to winning when it comes to co-op. 

DeepMind's researchers threw what they're calling 'Fictitious Co-Play (FCP)' AI into Overcooked sessions with both humans and 'novel agents,' or unfamiliar AI that was trained on separate algorithms.

Essentially it uses a much more diverse set to learn from. In their findings(opens in new tab) (PDF warning) they saw scores skyrocket thanks to this new training method, and the human partners even expressed «a strong subjective preference to partnering with FCP agents.»

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MIT researchers have been experementing with a similar method(opens in new tab), inspired by the DeepMind findings. They took it a step further with their new