Read more about Deep reinforcement learning could redefine insulin delivery for diabetes patients on Devdiscourse ...

Computing pioneer Alan Turing suggested training machines with rewards and punishments. Two computer scientists put the idea into practice in the 1980s and set the stage for the likes of ChatGPT.

There has been much talk about how AI could recursively self-improve in the coming years, but it appears that Google ...

Researchers from Stanford University and Google DeepMind have unveiled Step-Wise Reinforcement Learning (SWiRL), a technique ...

By employing multimodal data fusion, merging traffic volumes, weather patterns, and vehicle telemetry, the system boosts the ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

Turing Award recipients Richard Sutton and Andrew Barto believe reinforcement learning will play a role in artificial general ...

A robot's goal might be to assist its human owner with household chores. The reinforcement learning problem in AI is how to design agents that achieve their goals by perceiving and acting in their ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

Reinforcement learning serves as the foundation of Figure ... their learned behaviors are both versatile and reliable. For example, robots are trained to navigate surfaces ranging from smooth ...

Uncover the week’s top AI developments, from Google’s AGI push to Anthropic’s Claude updates, and their implications for the ...