Nature

Pedagogical Agents in Learning Environments

Pedagogical agents are digital characters designed to support, guide and motivate learners in multimedia and computer-based educational settings. By embodying both instructional strategies and social ...
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 ...

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
Forbes

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

It's never been easier to learn—or harder to grow. Today, anyone with a Wi-Fi connection has access to more learning content than the ancient Library of Alexandria could have ever contained. Video ...
VentureBeat

The ‘era of experience’ will unleash self-learning AI agents across the web—here’s how to prepare

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more David Silver and Richard Sutton, two ...
Security Boulevard

NDSS 2025 – TrajDeleter: Enabling Trajectory Forgetting In Offline Reinforcement Learning Agents

Machine Unlearning Authors, Creators & Presenters: hen Gong (University of Vriginia), Kecen Li (Chinese Academy of Sciences), ...
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 ...
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 ...