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» Generalized Nash equilibrium problems
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ATAL
2009
Springer
14 years 2 months ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina
WCNC
2010
IEEE
13 years 11 months ago
Network Selection in Heterogeneous Wireless Networks: Evolution with Incomplete Information
—Enabling users to connect to the best available network, dynamic network selection scheme is important for satisfying various quality of service (QoS) requirements, achieving se...
Kun Zhu, Dusit Niyato, Ping Wang
UAI
2000
13 years 9 months ago
Nash Convergence of Gradient Dynamics in General-Sum Games
Multi-agent games are becoming an increasingly prevalent formalism for the study of electronic commerceand auctions. The speed at which transactions can take place and the growing...
Satinder P. Singh, Michael J. Kearns, Yishay Manso...
CDC
2010
IEEE
130views Control Systems» more  CDC 2010»
13 years 2 months ago
Generalized efficiency bounds in distributed resource allocation
Game theory is emerging as a popular tool for distributed control of multiagent systems. In order to take advantage of these game theoretic tools the interactions of the autonomous...
Jason R. Marden, Tim Roughgarden
TSP
2010
13 years 2 months ago
Dynamic spectrum management with the competitive market model
[1, 2] have shown for the dynamic spectrum allocation problem that a competitive market model (which sets a price for transmission power on each channel) leads to a greater social...
Yao Xie, Benjamin Armbruster, Yinyu Ye