AI algorithms for deep-reinforcement learning have demonstrated the ability to learn at very high levels in constrained domains. TechCrunch Desktop Logo TechCrunch Mobile Logo Latest ...

Model-based algorithms: Model-based algorithms take a different approach to reinforcement learning. Instead of evaluating the value of states and actions, they try to predict the state of the ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Deep learning and reinforcement learning aren’t mutually exclusive. In fact, you might use deep learning in a reinforcement learning system, which is referred to as deep reinforcement learning ...

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 ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Just like deep artificial neural networks began to find business applications in the mid-2010s, after Geoffrey Hinton was hired by Google and Yann LeCun by Facebook, so too, deep reinforcement ...

It’s not a tactic you’ll see used by the pros, but it shows that an artificial intelligence trained via deep reinforcement learning—the technique behind cutting-edge game-playing AIs like ...