Abstract. We propose an extensive-form game as a model for pricing roaming charges in 802.11 wireless data networks. We specify utility functions for the three agents involved in t...
We study atomic routing games on networks in which players choose a path with the objective of minimizing the maximum congestion along the edges of their path. The social cost is t...
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...
: Games play a dual role: they test the player’s competence, and at the same time provide learning opportunities. They offer a simple form of a reward – the pleasure of playing...
Srinivasan Ramani, Venkatagiri Sirigiri, Nila Lohi...
We study computational and coordination efficiency issues of Nash equilibria in symmetric network congestion games. We first propose a simple and natural greedy method that comput...
Dimitris Fotakis, Spyros C. Kontogiannis, Paul G. ...