Unified reinforcement learning framework enables humanoid robots to react and adapt under real-world perceptual ...

A free DigiKey workshop will show engineers how to train a self-balancing robot using reinforcement learning before deploying the control policy to real hardware.

Drones use reinforcement learning to play tag, helping autonomous systems respond to changes during pursuit, evasion, and ...

If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle ...

The rules of tag are simple enough for a playground: catch or be caught. But when the players are autonomous drones, the game becomes a test of machine learning, split-second decision-making and ...

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 ...

Figure AI has developed a new humanoid robotic natural walking capability for its humanoid robots, leveraging reinforcement learning (RL) and simulation-based training. This approach enables the ...

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 ...

Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...