How to build custom reasoning agents with a fraction of the compute

The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the reliable ...

Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
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 ...
International Monetary Fund

Reinforcement Learning from Experience Feedback: Application to Economic Policy

Learning from the past is critical for shaping the future, especially when it comes to economic policymaking. Building upon the current methods in the application of Reinforcement Learning (RL) to the ...
Frontiers

Robotics at a Crossroads: AI-Based vs Classical Methods in Control, HRI, and Autonomy

The field of robotics is undergoing a profound transformation driven by rapid advances in artificial intelligence, particularly large language models and ...

AI World Models: What Are They And Why Should You Care

World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...
Robohub

AI system learns to keep warehouse robot traffic running smoothly

The hybrid system utilizes deep reinforcement learning, a powerful artificial intelligence method for solving complex ...