Introduction Digital-asset markets are evolving rapidly as algorithmic strategies become increasingly dependent on real-time learning systems capable o ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

The last decade of tech was to a large part defined by the advent of Deep Supervised Learning (DL). The availability of cheap data at scale, computational power, and researcher interest have made it ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Researchers from Nanjing University and Carnegie Mellon University introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning. This ...

Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too ...

This year, we have seen all the hype around AI Deep Learning. With recent innovations, deep learning demonstrated its usefulness in performing tasks such as image recognition, voice recognition, price ...

RICHLAND, Wash.—Scientists have taken a key step toward harnessing a form of artificial intelligence known as deep reinforcement learning, or DRL, to protect computer networks. When faced with ...