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» Nash Convergence of Gradient Dynamics in General-Sum Games
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CSE
2009
IEEE
13 years 9 months ago
Equilibria and Efficiency Loss in Games on Networks
Social networks are the substrate upon which we make and evaluate many of our daily decisions: our costs and benefits depend on whether--or how many of, or which of--our friends ar...
Joshua R. Davis, Zachary Goldman, Jacob Hilty, Eli...
JAIR
2008
135views more  JAIR 2008»
13 years 5 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
ICC
2009
IEEE
197views Communications» more  ICC 2009»
13 years 12 months ago
A Game-Based Self-Organizing Uplink Tree for VoIP Services in IEEE 802.16j Networks
— In this paper, we propose a game theoretical approach to tackle the problem of the distributed formation of the uplink tree structure among the relay stations (RSs) and their s...
Walid Saad, Zhu Han, Mérouane Debbah, Are H...
JSAC
2007
189views more  JSAC 2007»
13 years 5 months ago
Non-Cooperative Power Control for Wireless Ad Hoc Networks with Repeated Games
— One of the distinctive features in a wireless ad hoc network is lack of any central controller or single point of authority, in which each node/link then makes its own decision...
Chengnian Long, Qian Zhang, Bo Li, Huilong Yang, X...
ATAL
2007
Springer
13 years 11 months ago
Multiagent learning in adaptive dynamic systems
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...
Andriy Burkov, Brahim Chaib-draa