We study the relationship between the social cost of correlated equilibria and the social cost of Nash equilibria. In contrast to previous work focusing on the possible benefits ...
Milan Bradonjic, Gunes Ercal-Ozkaya, Adam Meyerson...
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
Game theoretic modeling and equilibrium analysis of congestion games have provided insights in the performance of Internet congestion control, road transportation networks, etc. D...
Nowadays there are many tools for the extraction of data objects [SWGDE] from SIM cards; unfortunately, most of them are proprietary, or their use is restricted to law enforcement...
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...