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JSAC
2008
140views more  JSAC 2008»
13 years 9 months ago
Optimality and Complexity of Pure Nash Equilibria in the Coverage Game
In this paper, we investigate the coverage problem in wireless sensor networks using a game theory method. We assume that nodes are randomly scattered in a sensor field and the goa...
Xin Ai, Vikram Srinivasan, Chen-Khong Tham
ALT
2003
Springer
14 years 20 days ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
ATAL
2006
Springer
14 years 22 days ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 4 months ago
Equilibria of Dynamic Games with Many Players: Existence, Approximation, and Market Structure
In this paper we study stochastic dynamic games with many players that are relevant for a wide range of social, economic, and engineering applications. The standard solution conce...
Sachin Adlakha, Ramesh Johari, Gabriel Y. Weintrau...
EJWCN
2010
131views more  EJWCN 2010»
13 years 3 months ago
The Waterfilling Game-Theoretical Framework for Distributed Wireless Network Information Flow
We present a general game-theoretical framework for the resource allocation problem in the downlink scenario of distributed wireless small-cell networks, where multiple access poi...
Gaoning He, Laura Cottatellucci, Mérouane D...