Mornine, AiMOGA’s humanoid robot, autonomously opens a car door at a Chery dealership, showcasing real-world embodied AI in ...

Balaji Padmanabhan discusses the evolution and impact of AI across sectors, emphasizing the need for governance and ...

Azure Machine Learning is also previewing cloud-based reinforcement learning offerings for data scientists and machine learning professionals. “We’ve come a long way in the last two years when we had ...

Ever since researchers began noticing a slowdown in improvements to large language models using traditional training methods, ...

AiMOGA Robotics has announced a major milestone in the real-world deployment of embodied AI. Its humanoid robot, Mornine, has ...

Reinforcement learning has been around for decades, but for a while it seemed like a dead end. One of your old advisers in fact told me that she tried to dissuade you from working on it.

Deep reinforcement learning is much more complicated than the other branches of machine learning. But in this post, I’ll try to demystify it without going into the technical details.

Reinforcement learning is notoriously renowned for requiring huge amounts of data. For instance, a reinforcement learning agent might need centuries worth of gameplay to master a computer game.

What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference," says developers should test any AI bot ...

Reinforcement learning is a branch of machine learning concerned with using experience gained through interacting with the world and evaluative feedback to improve a system's ability to make ...