An AI strategy proven adept at board games like Chess and Go, reinforcement learning, has now been adapted for a powerful protein design program. The results show that reinforcement learning can do ...

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, ...

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 ...

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 ...

Research Assistant Professor of Computer Science, University of Southern California My colleagues and I changed a digital version of Monopoly so that instead of getting US$200 each time a player ...

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 ...

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...

A team led by UW Medicine researchers developed powerful new protein design software adapted from a strategy proven adept at board games like chess and Go. In one experiment, proteins made with the ...