We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
This paper reviews applications in computer science that decision theorists have addressed for years, discusses the requirements posed by these applications that place great strai...
Abstract. Commercial games have various methods of game balancing, which modify the game’s entertainment value for players of different skill levels. This paper presents a way o...
Giel van Lankveld, Pieter Spronck, H. Jaap van den...
The class of weakly acyclic games, which includes potential games and dominance-solvable games, captures many practical application domains. Informally, a weakly acyclic game is on...
Alex Fabrikant, Aaron D. Jaggard, Michael Schapira
Empirical game theory allows studying the strategic interactions of agents in simulations. Specifically, traditional game theory describes such interactions by an analytical model...
Thierry Moyaux, Brahim Chaib-draa, Sophie D'Amours