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 …

Deep reinforcement learning (RL) methods have driven impressive advances in artificial
intelligence in recent years, exceeding human performance in domains ranging from Atari to …

We study GPT-3, a recent large language model, using tools from cognitive psychology.
More specifically, we assess GPT-3's decision-making, information search, deliberation, and …

Autism spectrum disorder (ASD) is characterized by hallmark impairments in social
functioning. Nevertheless, nonsocial cognition, including hippocampus-dependent spatial …

Moral outrage shapes fundamental aspects of social life and is now widespread in online
social networks. Here, we show how social learning processes amplify online moral outrage …

Motivational processes underlie behaviors that enrich the human experience, and
impairments in motivation are commonly observed in psychiatric illness. While motivated …

Neurobiological systems continually interact with the surrounding environment to refine their
behaviour toward the best possible reward. Achieving such learning by experience is one of …

" Our thoughts are meaningful. We think about things in the outside world; how can that be
so? This is one of the deepest questions in contemporary philosophy. Ever since …

The emergence of powerful artificial intelligence (AI) is defining new research directions in
neuroscience. To date, this research has focused largely on deep neural networks trained …

We adapt the ideas underlying the success of Deep Q-Learning to the continuous action
domain. We present an actor-critic, model-free algorithm based on the deterministic policy …