We introduce a multi-agent framework to generate reports of players' activities within multi-player computer games so that other players who are currently unable to participa...
Dan Fielding, Mike Fraser, Brian Logan, Steve Benf...
In this paper, methods for nonverbal communication in digital games and virtual worlds are explored as alternatives to chat and other text-based forms of communication. Inspired b...
Can learning algorithms find a Nash equilibrium? This is a natural question for several reasons. Learning algorithms resemble the behavior of players in many naturally arising gam...
Constantinos Daskalakis, Rafael Frongillo, Christo...
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
Michael J. Kearns, Yishay Mansour, Satinder P. Sin...
In a scheduling game, each player owns a job and chooses a machine to execute it. While the social cost is the maximal load over all machines (makespan), the cost (disutility) of ...