ETH Zurich’s ANYmal is a four-legged robot built for autonomous operation in some of the world’s most challenging ...

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.

A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater ...

Agentic AI transforms robots into smart, adaptable machines that can think, learn, and act autonomously in real-time.

For example, a pair of robot legs called Cassie taught itself to walk using reinforcement learning, but only after it had done so in a simulation. “The problem is your simulator will never be as ...

So, a team of scientists at ETH Zürich got busy fixing this problem. “I wanted to fuse perception and body movement,” said ...

Reinforcement learning is the process by which a machine learning algorithm, robot, etc. can be programmed to respond to complex, real-time and real-world environments to optimally reach a desired ...

All the latest science news on reinforcement learning from Phys.org. Find the latest news, advancements, and breakthroughs.