AIMC Topic: Games, Recreational

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Mastering the game of Go without human knowledge.

Nature
A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo became the first program to defeat a world champion in the game of Go. The tree search in Alpha...

Modelling engagement in dementia through behaviour. Contribution for socially interactive robotics.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this paper, we present a novel tool to measure engagement in people with dementia playing board games and interacting with a social robot, Pleo. We carried out two studies to reach a comprehensive inventory of behaviours accounting for engagement ...

Mastering the game of Go with deep neural networks and tree search.

Nature
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. Here we introduce a new approach to computer Go th...