The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

Professor Li Hang's new book is positioned as a university textbook and a reference for professionals, suitable for readers with a certain background in calculus, linear algebra, and computer science.

Leaders across various industries are turning to machine learning to gain valuable insights and make informed decisions.

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human.

Researchers have developed a novel control system for legged robots, including quadrupedal robots and humanoid robots, enabling them to navigate complex terrains.

Some tasks, like the language modeling performed by systems like GPT-4, use clever combinations of supervised and unsupervised techniques known as self- and semi-supervised learning. Finally, ...

At UC Berkeley, researchers in Sergey Levine's Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?