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Hendrik Baier,
a German computer scientist with a Ph.D. degree in 2015 from the Games and AI group [1] around Mark Winands at Department of Knowledge Engineering, Maastricht University. His research focused on Monte-Carlo Tree Search in Go, and on Monte-Carlo hybrids, employing minimax with an evaluation function in the rollout phase and move selection of MCTS - with encouraging results in the domains of Othello and Dōbutsu shōgi (Let's Catch the Lion) [2]. Hendrik Baier holds a Bachelor's degree in 2006 from Darmstadt University of Technology [3], and a Master's degree in 2010 from University of Osnabrück already on Monte-Carlo Go [4].
Hendrik Baier [5]

Connect Four

Despite being solved by James D. Allen (October 1, 1988), and independently by Victor Allis (October 16, 1988) [6], Connect Four is still an interesting game for humans, and also suited as testbed for search algorthms. Hendrik Baier's 2006 Bachelor's thesis deals with alpha-beta with improvements and evaluation in this domain.

Selected Publications

[7] [8]

2006 ...

2010 ...

2015 ...


Forum Posts


External Links


References

  1. ^ Hendrik Baier - Games and AI Group
  2. ^ Hendrik Baier, Mark Winands (2014). Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions. ECAI CGW 2014
  3. ^ Hendrik Baier (2006). Der Alpha-Beta-Algorithmus und Erweiterungen bei Vier Gewinnt. Bachelor's thesis (German), TU Darmstadt, advisor Johannes Fürnkranz, pdf
  4. ^ Hendrik Baier (2010). Adaptive Playout Policies for Monte-Carlo Go. Master's thesis, University of Osnabrück, pdf
  5. ^ Hendrik Baier's website
  6. ^ Connect Four from Wikipedia
  7. ^ Publications - Hendrik Baier's website
  8. ^ dblp: Hendrik Baier
  9. ^ Re: [Computer-go] Computer-go Digest, Vol 12, Issue 79 by Hendrik Baier, Computer Go Archive, January 26, 2011
  10. ^ Markov decision process from Wikipedia
  11. ^ Dap Hartmann (2017). Let's Catch the Train to Monte-Carlo. ICGA Journal, Vol. 39, No. 1

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