The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Traditionally, software engineering processes are based on a formalist model that emphasizes strict documentation, procedural and validation standards. Although this is a poor fit...
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
We present a logic for reasoning about strategic games. The logic is a modal formalism, based on the Coalition Logic of Propositional Control, to which we add the notions of outco...
Nicolas Troquard, Wiebe van der Hoek, Michael Wool...