In this paper, we examine the behavior of bidding agents that are in direct competition with the other participants in an auction setting. Thus the agents are not simply trying to...
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
Abstract— A central scheduling problem in wireless communications is that of allocating resources to one of many mobile stations that have a common radio channel. Much attention ...
Kavitha Veeraruna, Eitan Altman, Rachid El Azouzi,...