Reinforcement Learning (RL) is a type of machine learning where a model learns ... Data inefficiency: RL algorithms often require a large number of interactions with the environment to learn ...

Researchers at the Icahn School of Medicine at Mount Sinai have developed a machine learning tool that can help doctors ...

Beyond high performance, the RL framework’s main advantage lies in its real-time application potential. Once trained, the ...

Liking features on social media can provide troves of data about human behavior to AI models. But as AI gets smarter, will it ...

The ACM award cites contributions from Barto and Sutton that helped make reinforcement learning practical, including policy-gradient methods, a core way for an algorithm to learn how to behave ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...