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 ...

2025 AI Training New Discovery: Reinforcement Learning is More Effective than Rote Memorization

2025 AI Training New Discovery: Reinforcement Learning is More Effective than Rote Memorization ...
MilitaryNews.com

Reinforcement learning is making a buzz in space

A (NRL) research team successfully conducted the first reinforcement learning (RL) control of a free-flyer in space on May 27 ...
NextBigFuture

OpenAI Q Star Could Have a Mostly Automated and Scalable Way to Improve

The battle at OpenAI was possibly due to a massive breakthrough dubbed Q* (Q-learning). Q* is a precursor to AGI. What Q* might have done is bridged a big gap between Q-learning and pre-determined ...
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 ...

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 ...
Visual Studio Magazine

Q-Learning Using Python

Reinforcement learning (RL) is a branch of machine learning that addresses problems where there is no explicit training data. Q-learning is an algorithm that can be used to solve some types of RL ...