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ATAL
2009
Springer
14 years 5 months ago
Multiagent learning in large anonymous games
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern
STACS
2010
Springer
14 years 5 months ago
On Iterated Dominance, Matrix Elimination, and Matched Paths
We study computational problems that arise in the context of iterated dominance in anonymous games, and show that deciding whether a game can be solved by means of iterated weak d...
Felix Brandt, Felix A. Fischer, Markus Holzer