i-SCOOP

OpenClaw RL and the rise of next state reinforcement learning for real world agents

OpenClaw RL introduces an asynchronous reinforcement learning framework that trains agents from live conversations, tool ...
Frontiers

Safe and Trustworthy Reinforcement Learning for Human–Robot Collaboration

Reinforcement Learning (RL) has rapidly emerged as a powerful approach for enabling robots to acquire adaptive, data-driven behaviors in real-world ...
The American Journal of Managed Care

Offline Reinforcement Learning Improves Time in Range via Hybrid Closed-Loop Systems

This form of reinforcement learning was also shown to correct for control scenarios like irregular meal timing and compression errors. Offline reinforcement learning (RL) in hybrid closed-loop systems ...
Forbes

The Rise And Rise Of Reinforcement Learning: AI’s Quiet Revolution

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...
CIO

Why reinforcement learning is at the heart of AI solving problems

The first act of the current AI boom was defined by prediction. LLMs were trained to predict the next word in a sentence, ...
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 ...
Wired

Pioneers of Reinforcement Learning Win the Turing Award

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...