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 ...

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

Forbes contributors publish independent expert analyses and insights. Aytekin Tank is the founder and CEO of Jotform. Onboarding a new cohort of employees used to demand a huge investment: continual ...

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 ...

Kimi K2.5 introduces a multi-agent orchestration with up to 100 workers, helping teams cut complex task time and boost accuracy.

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

AI agents perceive their environment, make decisions, and take action, while agentic AI operates with greater autonomy, ...

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 ...

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 ...

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 ...