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

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 ...

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 ...

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 ...

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 ...

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...

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 ...

Every day we’re juggling different needs. I’m hungry but exhausted; should I collapse on the couch or make dinner? I’m overheating in dangerous temperatures but also extremely thirsty; should I chug ...

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 ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...