The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...

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 ...

An AI strategy proven adept at board games like Chess and Go, reinforcement learning, has now been adapted for a powerful protein design program. The results show that reinforcement learning can ...

Instead of simply broadcasting a global reward signal, as in reinforcement learning, procedures in artificial intelligence (for example, the back-propagation algorithm) use an involved machinery ...

Motion imitation approaches can achieve highly dynamic motions, but are limited by the complexity of the system and lack of adaptability to task objectives. Techniques based on reinforcement learning ...

Take our reinforcement learning example of navigating a new campsite. In our classic world, we—and our AI—need to decide between turning left or right at an intersection.

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