Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

Reinforcement learning (RL) is transforming the way robots interact with the world. Unlike traditional programming or supervised learning, which depend on pre-defined ...

At the Conference on Robot Learning (CoRL 2025) held at Seoul’s COEX convention center on September 28, Rainbow Robotics and ...

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 ...

AI models are filling in the blanks in advanced industrial control and robots. But people working on these systems are also ...

Tesla is ramping up hiring for its humanoid robot program, Optimus, including some reinforcement learning engineers. It was hard to take Tesla Bot seriously when Elon Musk announced it by having ...

If you’ve ever taught a dog to sit or shake, you’re familiar with the concept of reinforcement learning. Positive reinforcement is when an animal—or a child, if you’re lucky—learns a desired behavior ...

Over the past two decades, humanoid robots have greatly improved their ability to perform functions like grasping objects and using computer vision to detect things since Honda’s release of the ASIMO ...

In curling, a sport that’s been referred to as “chess on ice” because of the strategy and precision involved, a robot named Curly beat Korean national teams in three out of four official matches.