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 ...

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 ...

The system used reinforcement learning to quickly understand how to play Go and was able to beat the world champion, Lee Sedol, in 2016 (the game has more potential moves than the number of atoms ...

Reinforcement learning (that’s without the “deep”) involves an agent exploring an environment many times over, gradually learning which actions it should take in different situations in ...

Reinforcement learning, a subfield of ML, enables intelligent agents to learn optimal behaviour by rewarding and punishing.

Reinforcement Learning Breakthrough An approach to artificial intelligence that gets computers to learn like people, without explicit instruction. Why it matters Progress in self-­driving cars ...

In this article, the author explores the reinforcement machine learning technique called Multi-armed Bandits and discusses how it can be applied to areas like website design and clinical trials.