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

An open-source LLM saw big performance improvements after being told by Apple researchers to check its own work by using one ...

Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and ...

Humans instinctively walk and run—brisk walking feels effortless, and we naturally adjust our stride and pace without ...

Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.

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

The RL model delivers almost the same cost and efficiency outcomes as the MILP optimizer, but with dramatically lower ...

A new study published in Nature Communications provides evidence that the brain chemical dopamine plays a sophisticated, dual role in how we learn, influencing both our fast, effortful thinking and ...

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

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