The Reinforcement Gap — or why some AI skills improve faster than others

AI tasks that work well with reinforcement learning are getting better fast — and threatening to leave the rest of the ...
Forbes

Artificial Intelligence: What Is Reinforcement Learning - A Simple Explanation & Practical Examples

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...
VentureBeat

Why supervised learning is more common than reinforcement learning

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Supervised learning is a more commonly used form of machine learning than ...
Forbes

Ten Questions With OpenAI On Reinforcement Learning With Human Feedback

Recently, we interviewed Long Ouyang and Ryan Lowe, research scientists at OpenAI. As the creators of InstructGPT – one of the first major applications of reinforcement learning with human feedback ...
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 ...

Reinforcement Learning

The strategy uses Amazon’s own internal systems as reinforcement learning gyms to accelerate the development of its Nova models and enterprise AI tools. Read More Subscribe to GeekWire's free ...
The Register on MSN

China's DeepSeek applying trial-and-error learning to its AI 'reasoning'

Model can also explain its answers, researchers find Chinese AI company DeepSeek has shown it can improve the reasoning of its LLM DeepSeek-R1 through trial-and-error based reinforcement learning, and ...