Negative reinforcement has a bad reputation. Here’s what it really means, and why it can be surprisingly helpful.

Abstract: Recent studies have revealed that Deep Neural Networks (DNNs) are highly vulnerable to adversarial examples, which are generated by introducing imperceptible perturbations to clean images, ...

Abstract: This article delineates the stabilization problem of non-linear cyber physical systems by integrating the reinforcement learning based switched fault alarm controller and quadratic function ...

The United States is on track to see negative net migration for the first time in at least five decades, according to CNN, as President Donald J. Trump fulfills his promise to end the migrant invasion ...

In the fast-paced world of healthcare, I’ve learned that creating a positive work environment is essential for both staff well-being and patient care. At the core of both outcomes is fostering a ...

Gram-positive bacteria show blue or purple after Gram-staining in a laboratory test. They have thick cell walls. Gram-negative bacteria show pink or red on staining and have thin walls. They release ...

The critical role of midbrain dopaminergic neurons in encoding reward prediction error (RPE) signals during negative reinforcement learning (NRL) remains poorly ...

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...

Nipping negative repetitive thinking in the bud has the potential to stave off numerous mental health disorders. Think Eeyore and Piglet. Cheerful Piglet is a chronic worrier, coping with anxiety; ...