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

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 ...

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 ...

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 ...

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

As the creators of InstructGPT – one of the first major applications of reinforcement learning with human feedback (RLHF) to train large language models – the two played an important role in ...

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 ...

Reinforcement learning is being applied in a growing number of areas, says Emma Brunskill, an assistant professor at Stanford University who specializes in the approach.

“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 ...