This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
We focus on the problem of computing an -Nash equilibrium of a bimatrix game, when is an absolute constant. We present a simple algorithm for computing a 3 4 -Nash equilibrium for ...
Spyros C. Kontogiannis, Panagiota N. Panagopoulou,...
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
We consider the price of anarchy of pure Nash equilibria in congestion games with linear latency functions. For asymmetric games, the price of anarchy of maximum social cost is ( ...
The price of anarchy (POA) is a worst-case measure of the inefficiency of selfish behavior, defined as the ratio of the objective function value of a worst Nash equilibrium of a g...