No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

In this article, we aim to provide a literature review of different formulations and approaches
to continual reinforcement learning (RL), also known as lifelong or non-stationary RL. We …

Importance Computational psychiatry studies have investigated how reinforcement learning
may be different in individuals with mood and anxiety disorders compared with control …

Arguably, the most difficult part of learning is deciding what to learn about. Should I
associate the positive outcome of safely completing a street-crossing with the situation 'the …

Although the orbitofrontal cortex (OFC) has been studied intensely for decades, its precise
functions have remained elusive. We recently hypothesized that the OFC contains a" …

Attention is the gate through which sensory information enters our conscious experiences.
Oftentimes, patients with major depressive disorder (MDD) complain of concentration …

Understanding the brain requires us to answer both what the brain does, and how it does it.
Using a series of examples, I make the case that behavior is often more useful than …

Reinforcement learning (RL) is a framework of particular importance to psychology,
neuroscience and machine learning. Interactions between these fields, as promoted through …

When rats come to a decision point, they sometimes pause and look back and forth as if
deliberating over the choice; at other times, they proceed as if they have already made their …

We review the psychology and neuroscience of reinforcement learning (RL), which has
experienced significant progress in the past two decades, enabled by the comprehensive …