Nature

Understanding the development of reward learning through the lens of meta-learning

Determining how environments shape how people learn is central to understanding individual differences in goal-directed behaviour. Studies of the effects of early-life adversity on reward learning ...
InfoQ

Meta Optimizes Data Center Sustainability with Reinforcement Learning

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
VentureBeat

Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs

Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using ...
Nature

Meta-learning assisted robust control of universal quantum gates with uncertainties

Recent theoretical and experimental studies have shown that quantum phenomena, such as entanglement and superposition, can be used to facilitate information science and technologies, including quantum ...
Computerworld

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...
Forbes

From Turing To DeepSeek, Reinforcement Learning Soars To AI Summit

Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...