A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
This paper studies the infinite-horizon sensor scheduling problem for linear Gaussian processes with linear measurement functions. Several important properties of the optimal infin...
Wei Zhang, Michael P. Vitus, Jianghai Hu, Alessand...
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
The distribution of fitness values across a set of states sharply influences the dynamics of evolutionary processes and heuristic search in combinatorial optimization. In this p...
We formulate the problem of computing equilibria in multiplayer games represented by arbitrary undirected graphs as a constraint satisfaction problem and present two algorithms. T...
Vishal Soni, Satinder P. Singh, Michael P. Wellman