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.

Combining a mixture of artificial intelligence (AI), reinforcement learning, and human guidance, the new technique allows robots to go from novices to experts in just a few hours.

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 ...

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

A team of researchers from NVIDIA, ETH Zurich, and the University of Toronto open-sourced Orbit, a simulation-based robot learning framework. Orbit includes wrappers for four learning libraries, a sui ...