A general class of no-regret learning algorithms, called no-Φ-regret learning algorithms, is defined which spans the spectrum from no-external-regret learning to no-internal-reg...
An extension of the Colombo phase transition model is proposed. The congestion phase is described by a two-dimensional zone defined around an equilibrium flux known as the classi...
Sebastien Blandin, Daniel B. Work, Paola Goatin, B...
Game-theoretic solution concepts, such as Nash equilibrium, are playing an ever increasing role in the study of systems of autonomous computational agents. A common criticism of N...
Felix Brandt, Markus Brill, Felix A. Fischer, Paul...
We analyze the performance of single-parameter mechanisms for markets in which there is competition amongst both consumers and suppliers (namely, two-sided markets). Specifically, ...
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...