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Michael H. Bowling,
an American computer scientist and full professor at the University of Alberta with research focusing on artificial intelligence, machine learning, games, and robotics. He received his Ph.D. on multiagent learning under advisor Manuela Veloso at Carnegie Mellon University, where he was involved in the RoboCup initiative. At UofA, he is leader of the Computer Poker Research Group [1], recently applying deep learning to the game of Poker with the AI agent DeepStack [2] [3] [4].
Michael Bowling [5]

Selected Publications

[6]

2000 ...

2010 ...


External Links


References

  1. ^ University of Alberta Computer Poker Research Group
  2. ^ Matej Moravčík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael Bowling (2017). DeepStack: Expert-level artificial intelligence in heads-up no-limit poker. Science, Vol. 356, No. 6337
  3. ^ DeepStack
  4. ^ GitHub - lifrordi/DeepStack-Leduc: Example implementation of the DeepStack algorithm for no-limit Leduc poker
  5. ^ Michael Bowling - Faculty of Science
  6. ^ dblp: Michael H. Bowling

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