Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.

At UC Berkeley, researchers in Sergey Levine's Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks ...

If your AI can’t learn from its mistakes, it’s not intelligent — it’s obsolete. Logging isn’t a risk. It's the price of ...

To develop an AI system capable of doing such difficult work, a team of researchers at the California Institute of Technology ...

Continuous Learning: Reinforcement learning agents can continuously learn and improve even after initial training. They can use new experiences to refine their policies and adjust to changing ...

In this video, we break down the core training theory behind DeepSeek R1 — including General Reinforced Preference ...

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 ...

“Reinforcement learning is a classic behavioral phenomenon, known in the psychology literature since the early 1950s,” said Dr. Matt Johnson, who is a professor of psychology at Hult ...

Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical reactions, instead of relying on combustion. Promising types of fuel cells are ...