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...
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
This paper discusses congestion control from a game-theoretic perspective. There are two basic premises: (1) users are assumed to be independent and sel sh, and (2) central admini...
Abstract: Nowadays, in the markets of broadband access services, traditional contracts are of "static" type. Customers buy the right to use a specific amount of resources...
Sergios Soursos, Costas Courcoubetis, Richard R. W...