Martin Zinkevich is a NSF Graduate Research Fellow at Carnegie Mellon University where he earned his Ph.D. in Computer Science under Avrim Blum. At CMU, his research focused on the foundations of multi-agent learning. Afterwards, he worked with Amy Greenwald at Brown University and Michael Littman at Rutgers University on understanding multi-agent Q-learning. Martin was an AICML Postdoctoral Fellow at the University of Alberta, where, among other projects, he was considering how to apply multi-agent techniques to the analysis and play of poker. At present, Martin is Research Scientist at Yahoo! Inc.
- University of Alberta computer poker research group
- M. Zinkevich, M. Bowling, M. Johanson, C. Piccione. "Regret Minimization in Games with Incomplete Information". NIPS 2007. 
- Martin Zinkevich, all publications 
- Martin Zinkevich @ Yahoo Research
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