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- 20Bowling, Michael (Computing Science)
- 14Schuurmans, Dale (Computing Science)
- 5Szepesvari, Csaba (Computing Science)
- 2Greiner, Russell (Computing Science)
- 1Bellemare, Marc (Google Brain)
- 1Bowling, Mike (Computing Science)
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- 8Reinforcement Learning
- 6Artificial Intelligence
- 6Machine learning
- 5Machine Learning
- 3Game Theory
- 2Abstractions
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Departments: Department of Computing Science
Item type: Thesis
Languages: English
Collections: Graduate and Postdoctoral Studies (GPS), Faculty of
Collections: Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
Supervisors: Bowling, Michael (Computing Science)
Supervisors: Schuurmans, Dale (Computing Science)
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Fall 2015
Extensive-form games are a powerful framework for modeling sequential multi-agent interactions. In extensive-form games with imperfect information, Nash equilibria are generally used as a solution concept, but computing a Nash equilibrium can be intractable in large games. Instead, a variety of...
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