Joint Strategy Fictitious Play with Inertia for Potential Games

By Jason R. Marden, Gürdal Arslan, Jeff S. Shamma. Proceedings of the 44th IEEE Conference on Decision and Control, 2005

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How researchers see this paper

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Autonomous Vehicle-Target Assignment: A Game-Theoretical Formulation (2007, background): “The most computationally intensive operation is the optimization of the utilities during the negotiations, which effectively requires an enumeration of all possible combined assignments by other vehicles (cid:1) 21,22 (cid:2) .”
Cooperative Control and Potential Games (2009, background): “With the consensus problem now formulated as a potential game, there are a large number of learning algorithms available with guaranteed results [10, 18, 17, 12, 15, 16].”
Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games (2012, background): “, best response dynamic [39], [40], no-regret learning [11], [20] and fictitious play [42], [43], a main drawback is that they may converge to some suboptimal NE points.”