Home * People * Hendrik Baier

		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

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2006 ...

• Hendrik Baier (2006). Der Alpha-Beta-Algorithmus und Erweiterungen bei Vier Gewinnt. Bachelor's thesis (German), TU Darmstadt, advisor Johannes Fürnkranz, pdf

2010 ...

• Hendrik Baier (2010). Adaptive Playout Policies for Monte-Carlo Go. Master's thesis, University of Osnabrück, pdf ^[9]
• Hendrik Baier, Peter D. Drake (2010). The power of forgetting: Improving the last-good-reply policy in Monte Carlo Go. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, No. 4
• Hendrik Baier, Mark Winands (2011). Active Opening Book Application for Monte-Carlo Tree Search in 19x19 Go. BNAIC 2011, pdf
• Hendrik Baier, Mark Winands (2011). Time Management for Monte-Carlo Tree Search in Go. Advances in Computer Games 13
• Hendrik Baier, Mark Winands (2012). Nested Monte-Carlo Tree Search for Online Planning in Large MDPs. ECAI 2012, pdf ^[10]
• Hendrik Baier, Mark Winands (2012). Beam Monte-Carlo Tree Search. CIG 2012, pdf
• Hendrik Baier, Mark Winands (2013). Monte-Carlo Tree Search and minimax hybrids. CIG 2013, pdf
• Hendrik Baier, Mark Winands (2014). Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions. ECAI CGW 2014

2015 ...

• Hendrik Baier (2015). Monte-Carlo Tree Search Enhancements for One-Player and Two-Player Domains. Ph.D. thesis, Maastricht University, pdf ^[11]
• Hendrik Baier, Mark Winands (2016). Time Management for Monte Carlo Tree Search. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 8, No. 3, draft as pdf
• Hendrik Baier (2017). A Rollout-Based Search Algorithm Unifying MCTS and Alpha-Beta. Computer Games » Rollout Paradigm

Forum Posts

• [Computer-go] learning patterns for mc go by Hendrik Baier, Computer Go Archive, April 26, 2010
• Re: [Computer-go] Computer-go Digest, Vol 12, Issue 79 by Hendrik Baier, Computer Go Archive, January 26, 2011
• Re: [Computer-go] Computer-go Digest, Vol 12, Issue 81 by Hendrik Baier, Computer Go Archive, January 26, 2011
• [Computer-go] 2nd CFP: DKE Symposium "Driven by Search" by Hendrik Baier, Computer Go Archive, May 18, 2011
• Re: [Computer-go] Computer-go Digest, Vol 17, Issue 78 by Hendrik Baier, Computer Go Archive, June 29, 2011
• Re: [Computer-go] Computer-go Digest, Vol 18, Issue 29 by Hendrik Baier, Computer Go Archive, July 11, 2011

External Links

• Hendrik Baier's website
• Hendrik Baier - Games and AI Group
• Hendrik Baier - Google Scholar Citations

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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