In this article we hypothesise that intelligence, and its associated abilities, can be
understood as subserving the maximisation of reward. Accordingly, reward is enough to …

The ability of humans to create and disseminate culture is often credited as the single most
important factor of our success as a species. In this Perspective, we explore the notion of …

Traditionally, cognitive and computer scientists have viewed intelligence solipsistically, as a
property of unitary agents devoid of social context. Given the success of contemporary …

Cultural transmission is the domain-general social skill that allows agents to acquire and
use information from each other in real-time with high fidelity and recall. It can be thought of …

Social learning is a key component of human and animal intelligence. By taking cues from
the behavior of experts in their environment, social learners can acquire sophisticated …

A common vision from science fiction is that robots will one day inhabit our physical spaces,
sense the world as we do, assist our physical labours, and communicate with us through …

In few-shot imitation, an agent is given a few demonstrations of a previously unseen task,
and must then successfully perform that task. We propose a novel approach to learning few …

We study reinforcement learning (RL) with no-reward demonstrations, a setting in which an
RL agent has access to additional data from the interaction of other agents with the same …

The major application areas of reinforcement learning (RL) have traditionally been game
playing and continuous control. In recent years, however, RL has been increasingly applied …

The problem of goal recognition requests to automatically infer an accurate probability
distribution over possible goals an autonomous agent is attempting to achieve in the …