The Next Web

Everything you need to know about model-free and model-based reinforcement learning

Reinforcement learning is one of the exciting branches of artificial intelligence. It plays an important role in game-playing AI systems, modern robots, chip-design systems, and other applications.
InfoWorld

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...
VentureBeat

Google researchers improve reinforcement learning by having their AI play Pong

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Deep reinforcement learning — an AI training technique that employs ...
NextBigFuture

Reinforcement Learning Does NOT Fundamentally Improve AI Models

Reinforcement Learning does NOT make the base model more intelligent and limits the world of the base model in exchange for early pass performances. Graphs show that after pass 1000 the reasoning ...
VentureBeat

DeepMind proposes novel way to train ‘safe’ reinforcement learning AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Reinforcement learning agents — or AI that’s progressively spurred toward ...
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 ...
Ubergizmo

AgiBot Brings Reinforcement Learning to the Factory Floor — A First for Industrial Robotics

AgiBot has just achieved what many in robotics research have been chasing for years: the first real-world deployment of reinforcement learning ...