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Johannes Heinrich,
a computer scientist and research student at Department of Computer Science, University College London. His research interests include artificial intelligence, game theory, MCTS, UCT and deep learning, in particular applied to Computer Poker.

Selected Publication

^[1]

• Johannes Heinrich, David Silver (2014). Self-Play Monte-Carlo Tree Search in Computer Poker. AAAI-14 Workshop
• Johannes Heinrich, Marc Lanctot, David Silver (2015). Fictitious Self-Play in Extensive-Form Games. JMLR: W&CP, Vol. 37, pdf
• Johannes Heinrich, David Silver (2015). Smooth UCT Search in Computer Poker. IJCAI 2015, pdf
• Johannes Heinrich, David Silver (2016). Deep Reinforcement Learning from Self-Play in Imperfect-Information Games. arXiv:1603.01121 ^{[2] [3] [4]}

External Links

• Johannes Heinrich
• Johannes Heinrich - Google Scholar Citations
• Johannes Heinrich - Department of Computer Science, University College London - VideoLectures.NET

References

1. ^ Johannes Heinrich - Google Scholar Citations
2. ^ Could DeepMind try to conquer poker next? by Alex Hern, The Guardian, March 30, 2016
3. ^ Texas Hold'em: AI is almost as good as humans at playing poker by Matt Burgess, Wired UK, March 30, 2016
4. ^ UCL's Poker Playing Artificial Intelligence Could Spawn New Technology by Daniel Smyth, CardsChat, October 12, 2016

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