Tech Xplore on MSN

Multi-agent AI could change everything—if researchers can figure out the risks

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

When Learning Meets EdTech And Finally Becomes The Work

Insights into what happens to corporate learning when AI and performance pressure collide with an L&D function still built ...
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 ...
inc42

What Is Reinforcement Learning? Here’s All You Need to Know

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...
Yahoo Finance

Kaltura’s AI Learning Agent Wins “e-Learning Innovation of the Year”, Ushering in a New Era of Personalized Education

Kaltura (Nasdaq: KLTR), the AI Video Experience Cloud, today announced that the Kaltura Class Genie has been selected as the winner of the “e-Learning Innovation of the Year” award in the 7th annual ...

The 6 Education Trends That Will Shape Learning And Skills In 2026

As we head towards 2026, AI has become a powerful aid for both learners and teachers, enabling personalized study and ...
Time

Reinforcement Learning

This article is published by AllBusiness.com, a partner of TIME. What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by ...
Scientific Research Publishing

Reinforcement Learning for Antidepressant Dose Adjustment: An Explainable Agent Approach ()

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...