Distributed teams are increasingly common in today's workplace. For these teams, face-to-face meetings where members can most easily build trust are rare and often cost-prohi...
Jason B. Ellis, Kurt Luther, Katherine Bessi&egrav...
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Congestion games—in which players strategically choose from a set of “resources” and derive utilities that depend on the congestion on each resource— are important in a wid...
Andrew Byde, Maria Polukarov, Nicholas R. Jennings
This paper addresses the problem of recognizing policies given logs of battle scenarios from multi-player games. The ability to identify individual and team policies from observat...