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 ...

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 ...

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 ...

Some researchers believe the next breakthrough in AI design will come not from scraping the web or purchasing user data, but ...

The role of artificial intelligence in game development has expanded significantly over the past decade, merging sophisticated reinforcement learning techniques with innovative game design to create ...

Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for ...

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 ...

Erev, Ido, and A. E. Roth. "On the Role of Reinforcement Learning in Experimental Games: The Cognitive Game Theory Approach." In Games and Human Behavior: Essays in Honor of Amnon Rapoport, edited by ...

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, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Reinforcement learning (RL) is a powerful type of artificial intelligence ...