Houston Chronicle

Active vs. Passive Workplace Learning

If you need to train employees, either to teach them a new computer program or to promote them to a higher position, you can teach them using either an active or passive technique. With passive ...
International Monetary Fund

Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A ...
Physics World

The pros and cons of reinforcement learning in physical science

David Silver of Google DeepMind thinks AIs that ‘learn by experience’ are the future of AI – but maybe not in particle ...
Nature

Is subliminal learning really passive?

In our previous study 1, subjects carried out an attentionally demanding letter-identification task 7 in the fovea while a coherently moving, random-dot display that was below the visibility threshold ...
Nature

Deep Reinforcement Learning for Active Flow Control

Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.