Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Reinforcement learning (RL) is a powerful type of artificial intelligence ...

Reinforcement learning (RL) represents a paradigm shift in smart building energy management by enabling systems to dynamically adapt to changing environmental conditions and occupant behaviours.

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

Imagine trying to teach a child how to solve a tricky math problem. You might start by showing them examples, guiding them step by step, and encouraging them to think critically about their approach.

Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...

Machine learning is one of the cornerstones of artificial intelligence. If systems can’t learn, they can’t adapt or apply knowledge from one domain to another. And yet, machine learning is just a ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Reinforcement Pre-Training (RPT) is a new method for training large language models (LLMs) by reframing the standard task of predicting the next token in a sequence as a reasoning problem solved using ...