The desire to reduce the dependence on curated, labeled datasets and to leverage the vast
quantities of unlabeled data has triggered renewed interest in unsupervised (or self …

The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …

Board, card or video games have been played by virtually every individual in the world.
Games are popular because they are intuitive and fun. These distinctive qualities of games …

In this letter we address the challenge of exploration in deep reinforcement learning for
robotic manipulation tasks. In sparse goal settings, an agent does not receive any positive …

The Animal-AI Environment is a unique game-based research platform designed to serve
both the artificial intelligence and cognitive science research communities. In this paper, we …

Recent work in machine learning and cognitive science has suggested that understanding
causal information is essential to the development of intelligence. The extensive literature in …

A fundamental component of human cognition is the ability to intuitively reason about
behaviours of objects and systems in the physical world without resorting to explicit scientific …

What drives exploration? Understanding intrinsic motivation is a long-standing question in
both cognitive science and artificial intelligence (AI); numerous exploration objectives have …

Cognitive flexibility, the ability to quickly adapt to changing environmental demands, is a
hallmark of human behaviour, and is impaired across multiple psychiatric disorders …

The deep neural nets of modern artificial intelligence (AI) have not achieved defining
features of biological intelligence, including abstraction, causal learning, and energy …