Ever since researchers began noticing a slowdown in improvements to large language models using traditional training methods, ...

Deep reinforcement learning is much more complicated than the other branches of machine learning. But in this post, I’ll try to demystify it without going into the technical details.

Reinforcement learning (RL) and latent world models are emerging as promising tools for modeling complex atomic level changes ...

Reinforcement learning is a branch of machine learning concerned with using experience gained through interacting with the world and evaluative feedback to improve a system's ability to make ...

Google DeepMind, Alphabet Inc.’s artificial intelligence research arm, today announced the rollout of Gemini 2.5 Deep Think, ...

Google released its first publicly available "multi-agent" AI system, which uses more computational resources, but produces ...

Azure Machine Learning is also previewing cloud-based reinforcement learning offerings for data scientists and machine learning professionals. “We’ve come a long way in the last two years when we had ...

Reinforcement learning is being applied in a growing number of areas, says Emma Brunskill, an assistant professor at Stanford University who specializes in the approach.