We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
This paper discusses how Semantic Web technologies are being adopted, specialized, and put in practice in order to set up a technical infrastructure that will facilitate sharing a...
— We examine the usefulness of passive compliance in a manipulator that learns contact motion. Based on the notice that humans outperforms robots with the contact motion, we foll...
We examine learning culture in a popular online game, World of Warcraft. We analyze the way players learn this complex game through chat conversation with peers. We describe three...