Reinforcement learning applications To better understand the components of reinforcement learning, let’s consider a few examples.

Interview with the creators of InstructGPT, one of the first major applications of reinforcement learning with human feedback (RLHF) to train large language models that influenced subsequent LLM ...

Reinforcement learning is another variation of machine learning that is made possible because AI technologies are maturing leveraging the vast amounts of data we create every day. This simple ...

Professor Li Hang's new book is positioned as a university textbook and a reference for professionals, suitable for readers with a certain background in calculus, linear algebra, and computer science.

The "reward-is-enough" hypothesis suggests that reinforcement learning alone could lead to AGI.

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.

Unlike supervised learning, reinforcement learning algorithms must observe, and that can take time, said UC Berkeley professor Ion Stoica at Transform.