Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

Stochastic Approximation algorithms are used to approximate solutions to fixed point equations that involve expectations of functions with respect to possibly unknown distributions. The most famous ...

A new study on meta reinforcement learning algorithms helps us understand how the human brain learns to adapt to complexity and uncertainty when learning and making decisions. A research team, led by ...

Researchers have developed 'Dynamic Prospect Theory,' which integrates the most popular model in behavioral economics -- prospect theory and a well-established model from neuroscience -- reinforcement ...

If you've ever wondered why some people succeed at learning new skills and knowledge while others fail to grasp basic concepts, you may want to find out more about learning theory. Theories of ...