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

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 ...

Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results.

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 ...

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

For these problems, the hybrid AI was 63 percent faster at learning a solution compared to traditional reinforcement learning, decreasing its learning effort from 270 guesses to 100. Now that ...

What is Reinforcement Learning? At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward.