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

CoreWeave, Inc. (NASDAQ: CRWV), the AI Hyperscaler™, today announced a definitive agreement to acquire OpenPipe Inc, a ...

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

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

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

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 ...

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 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 ...

AI algorithms for deep-reinforcement learning have demonstrated the ability to learn at very high levels in constrained domains.

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