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ATAL
2009
Springer
14 years 9 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 10 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