We study the convergence time of Nash dynamics in two classes of congestion games – constant player congestion games and bounded jump congestion games. It was shown by Ackermann ...
Finding an equilibrium of an extensive form game of imperfect information is a fundamental problem in computational game theory, but current techniques do not scale to large games...
We consider computational aspects of alternating move games, repeated games in which players take actions at alternating time steps rather than playing simultaneously. We show tha...
Aaron Roth, Maria-Florina Balcan, Adam Kalai, Yish...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
We consider a process called Group Network Formation Game, which represents the scenario when strategic agents are building a network together. In our game, agents can have extrem...