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

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

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 ...

Deep reinforcement learning has helped solve very complicated challenges and will continue to be an important interest for the AI community.

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.

Amazon is making it clear that it believes that reinforcement learning (RL) should be a first-class participant in the ML portfolio considered by enterprises. Amazon has applied RL and other ML ...

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 ...

Reinforcement learning is a subfield of machine learning that draws on multiple disciplines which began to coalesce in the 1980s.