Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
—We study in this paper optimal stochastic control issues in delay tolerant networks. We first derive the structure of optimal two-hop forwarding policies. In order to be implem...
Eitan Altman, Giovanni Neglia, Francesco De Pelleg...
— Incentive protocols play a crucial role to encourage cooperation among nodes in networking applications. The aim of this paper is to provide a general analytical framework to a...
As massively multi-player gaming environments become more detailed, developing agents to populate these virtual worlds as capable non-player characters poses an increasingly compl...
John Reeder, Gita Sukthankar, Michael Georgiopoulo...
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...