In this rapidly growing digital era, the evolution of Artificial Intelligence (AI) and Machine Learning (ML) from academic thought experiments to real-world dis ...

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

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Let’s move on to temporal difference learning (TD learning), which is a subset of reinforcement learning that was the focus ...

The European Commission published guidelines that clarify the definition of AI systems under the AI Act, analyzing each component of the definition ...

Abstract: This review article addresses the problem of learning abstract representations of measurement data in the context of deep reinforcement learning ... a comprehensive and complete overview of ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with ...

ML is one of the cornerstones of AI in manufacturing. It has been used for over a decade and is often applied to individual ...