abstraction of imperfect information games ANDREW GILPIN and TUOMAS SANDHOLM Computer Science Department Carnegie Mellon University Pittsburgh, PA, USA Finding an equilibrium of an...
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
In this paper we investigate distributed computation in dynamic networks in which the network topology changes from round to round. We consider a worst-case model in which the com...
In an attempt to cope with time-varying workload, traditional adaptive Time Warp protocols are designed to react in response to performance changes by altering control parameter c...
The paper addresses limitations of strictly interactive theories of videogame genre, proposes a supplementary, historicist inter-media alternative, and interprets the videogame Ka...