As game worlds grow more vast and complex, making sure they are playable and bug-free is becoming increasingly difficult for developers. And gaming companies are looking for new tools, including ...
Tech Xplore on MSN
DeepMind introduces AI agent that learns to complete various tasks in a scalable world model
Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...
TheGamer on MSN
Arc Raiders' Design Director Claims They Don't Use Gen AI
"Arc Raiders in no way uses generative AI whatsoever," Watkins assures. "We use something called machine learning, or ...
This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Artificial intelligence has proven that complicated board and ...
Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...
A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo became the first program to defeat a world ...
Google is teaching machines to play Atari games like Space Invaders, Video Pinball, and Breakout. And they're getting pretty good. At DeepMind, a Google subsidiary based in Cambridge, England, ...
Generative AI doesn't contribute to Arc Raiders' superb aesthetic, but Embark tells us how the team has relied on AI during development.
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves.
It was not long ago that the world watched World Chess Champion Garry Kasparov lose a decisive match against a supercomputer. IBM’s Deep Blue embodied the state of the art in the late 1990s, when a ...
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