The Learning System: How Agentic AI Can Compound Its Own Advantage

Most AI transformations aim to generate value, not to learn. The most durable advantage comes from designing learning into the architecture itself.
InfoWorld

How self-learning AI agents will reshape operational workflows

Google’s recent whitepaper, “Welcome to the Era of Experience,” signals a shift in the way AI agents are trained. Google’s paper hypothesizes that allowing AI agents to learn from the experience of ...
VentureBeat

Google finds that AI agents learn to cooperate when trained against unpredictable opponents

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — is enough to produce cooperative multi-agent systems that adapt to each ...
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 ...
Geeky Gadgets

How Self-Evolving AI Agents Are Learning to Rewrite Their Own Rules

Self-evolving AI agents are reshaping how artificial intelligence systems learn and adapt, allowing them to autonomously refine their skills and performance over time. AI Jason explores the mechanisms ...
The Next Web

Reinforcement learning: How rewards create intelligent machines

In June 2021, scientists at the AI lab DeepMind made a controversial claim. The researchers suggested that we could reach artificial general intelligence (AGI) using one single approach: reinforcement ...
Microsoft

With reinforcement learning, Microsoft brings a new class of AI solutions to customers

Someone looking to book a vacation online today might have very different preferences than they did before the COVID-19 pandemic. Instead of flying to an exotic beach, they might feel more comfortable ...