Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
We study rerouting policies in a dynamic round-based variant of a well known game theoretic traffic model due to Wardrop. Previous analyses (mostly in the context of selfish routi...
In mobile networks, authentication is a required primitive of the majority of security protocols. However, an adversary can track the location of mobile nodes by monitoring pseudo...
Julien Freudiger, Mohammad Hossein Manshaei, Jean-...
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
Recent results regarding games with congestion-averse utilities (or, congestion-averse games—CAGs) have shown they possess some very desirable properties. Specifically, they hav...
Thomas Voice, Maria Polukarov, Andrew Byde, Nichol...