Researchers at Google DeepMind and the University of Oxford have introduced a new approach for studying human reward-based learning using a combination of AI algorithms and psychological theories.

For almost a century, psychology and neuroscience researchers have been trying to understand the processes via which humans and other animals acquire new skills or learn to deal with specific ...

Research shows that reward-based learning requires the two neuromodulators to balance one another's influence -- like the accelerator and brakes on a car If you've heard of two of the brain's chemical ...

Summary: A paradigm-shifting study has upended a decades-long neurological assumption that learning speed depends entirely on repetition and experience rather than the size of a reward. The research ...

The world does not reward what we know alone; it rewards what we can do with what we know. For decades, grades have been ...

Learning is essential in everyday life. Whenever we make a choice, we need to know whether to repeat it or to try a different course of action. But what makes us learn or prevents us from learning? A ...

In education, as in psychology, clarity matters. Yet in everyday conversations about teaching and learning, terms like learning theory and pedagogy are often used interchangeably. Phrases such as “We ...

As part of their study, the researchers collected a large dataset containing decisions made by humans during reward-based learning tasks. They then developed AI models combining conventional RL ...