Pim Nijssen, a Dutch computer scientist at Department of Knowledge Engineering [1], Maastricht University. His research interests include applying and improving Monte-Carlo Tree Search in multiplayer games such as Focus and Chinese Checkers, and hide-and-seek games like Scotland Yard.
Pim Nijssen [2]

Selected Publications

• Pim Nijssen (2007). Playing Othello Using Monte Carlo. Bachelor's Thesis, Maastricht University, pdf
• Pim Nijssen (2009). Using Intelligent Search Techniques to Play the Game Khet. Master's Thesis, Maastricht University, pdf ^[4]
• Pim Nijssen, Mark Winands (2010). Enhancements for Multi-Player Monte-Carlo Tree Search. CG 2010, pdf
• Pim Nijssen, Mark Winands (2011). Playout Search for Monte-Carlo Tree Search in Multi-Player Games. Advances in Computer Games 13, pdf
• Pim Nijssen, Mark Winands (2012). An Overview of Search Techniques in Multi-Player Games. ECAI CGW 2012
• Pim Nijssen, Mark Winands (2012). Monte-Carlo Tree Search for the Hide-and-Seek Game Scotland Yard. IEEE Transactions on Computational Intelligence and AI in Games
• Pim Nijssen, Mark Winands (2013). Search Policies in Multi-Player Games. ICGA Journal, Vol. 36, No. 1
• Pim Nijssen (2013). Monte-Carlo Tree Search for Multi-Player Games. Ph.D. thesis, Maastricht University, pdf ^[5]

External Links

• Pim Nijssen - Games and AI Group
• Pim Nijssen - Maastricht University

References

1. ^ Maastricht University | Department of Knowledge Engineering
2. ^ Pim Nijssen - Maastricht University
3. ^ J. (Pim) A. M. Nijssen | Publications
4. ^ Khet (game) from Wikipedia
5. ^ Dap Hartmann (2014). From Monte Carlo to Scotland Yard. ICGA Journal, Vol 37, No. 1, Review on Pim Nijssen's Ph.D. thesis

What links here?