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 ...

The latest research from top teams including Tsinghua University and the Shanghai Artificial Intelligence Lab reveals the latest advancements in **Reinforcement Learning (RL)** in the field of ...

Scientists have successfully applied reinforcement learning to a challenge in molecular biology. The team of researchers developed powerful new protein design software adapted from a strategy proven ...

We set out to create a single algorithm that would be able to develop a wide range of competencies on a varied range of challenging tasks—a central goal of general artificial intelligence 13 that has ...

How can we conquer this last stronghold of AI infrastructure? Now, the research team from Shanghai Jiao Tong University and ...

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 ...

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, ...

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 ...