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It’s hard to create AI that can beat human players at games; AI in video games has made progress, but it’s very restricted and purposefully not akin to playing against a human. DeepMind’s programs have changed that idea in recent years. For example, a DeepMind-developed AI called AlphaStar trounced two professional StarCraft II in January, though under restricted conditions. But DeepMind isn’t necessarily interested in using this technology to make games more fun, or more difficult. Instead, it’s using the digital world of Quake III Arena to teach AI to mimic human behavior in the real world.
“The real world contains multiple agents, each learning and acting independently to cooperate and compete with other agents,” DeepMind wrote in the paper, which was published in Science on Thursday.
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.