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 ...

To see the divide between the best artificial intelligence and the mental capabilities of a seven-year-old child, look no further than the popular video game Minecraft. A young human can learn how to ...

A truly kick-ass videogame combines clever code, gorgeous graphics, and artful animation—plus thousands of hours of hard work. Researchers at Electronic Arts—the company behind FIFA, Madden, and other ...

An artificial intelligence that can remember its previous successes and use them to create new strategies has achieved record high scores on some of the hardest video games on classic Atari consoles.

The machine apocalypse draws nearer. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. "Reinforcement learning (RL) has shown great success in ...

The square-faced, three-legged alien shoves and jostles to get at the enormous plant taking over its tiny planet. But each bite just makes the forbidden fruit grow bigger. Suddenly the plant’s weight ...

Progress in self-­driving cars and other forms of automation will slow dramatically unless machines can hone skills through experience. Inside a simple computer simulation, a group of self-driving ...

Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you ...

Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...

This article is published by AllBusiness.com, a partner of TIME. What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where ...