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 ...

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

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 ...

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 ...

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 ...

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 ...

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

Meet NVIDIA Nitrogen, a generalist gaming agent trained on 40,000 hours of video, so you can understand how imitation learning scales.