Nature

Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...
InfoWorld

How self-learning AI agents will reshape operational workflows

Google’s recent whitepaper, “Welcome to the Era of Experience,” signals a shift in the way AI agents are trained. Google’s paper hypothesizes that allowing AI agents to learn from the experience of ...
Nature

Reimagining Teaching and Learning in the Age of Generative AI Agents

This collection supports and amplifies research related to SDG 4: Quality Education. Generative AI is transforming the conventional dyadic teacher-student dynamic into a triadic framework centered ...
Forbes

From Content To Capability: How AI Agents Are Redefining Workplace Learning

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. It's never been easier to learn—or harder to grow. Today, anyone with a Wi-Fi connection has ...
Wall Street Journal

AI Agents Are Learning How to Collaborate. Companies Need to Work With Them

Companies should start planning for the next stage of artificial intelligence: the orchestration of multiple agents across their businesses. Most companies are still figuring out how to deploy even ...