—In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main re...
For the past few years many new applications are being developed featuring interactive environments populated with autonomous virtual agents capable of acting according to their g...
This paper addresses the dynamic service selection and composition issues for the satisfaction of user requirements. We propose an approach in which agents perform service composi...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
In this paper, we propose to design a market game that (a) can be used in modeling and studying commodity trading scenarios, and (b) can be used in capturing human traders’ beha...