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Henk Mannen ^[1]

Henk Mannen,
a Dutch computer scientist, chess player ^[2], and sales and human resource manager. He holds a Master's degree from Utrecht University in 2003, where he worked with Marco Wiering on reinforcement learning and temporal difference learning in chess. In their experiments, they used Tom Kerrigan's TSCP 1.811, and trained several different chess evaluation functions (neural networks) by using TD(λ) learning on a set of database games ^[3].

Publications

Henk Mannen (2003). Learning to play chess using reinforcement learning with database games. Master’s thesis, Cognitive Artiﬁcial Intelligence, Utrecht University, pdf
Henk Mannen, Marco Wiering (2004). Learning to play chess using TD(λ)-learning with database games. Cognitive Artiﬁcial Intelligence, Utrecht University, Benelearn’04, pdf
Marco Wiering, Jan Peter Patist, Henk Mannen (2005). Learning to Play Board Games using Temporal Difference Methods. Technical Report, Utrecht University, UU-CS-2005-048, pdf

@@ Line 5: / Line 5: @@
 '''Henk Mannen''',<br/>
 a Dutch computer scientist, chess player <ref>[https://ratings.fide.com/profile/1006177 Mannen, Henk FIDE Chess Profile]</ref>,
-and sales and human ressource manager.
+and sales and human resource manager.
 He holds a Master's degree from [https://en.wikipedia.org/wiki/Utrecht_University Utrecht University] in 2003, where he worked with [[Marco Wiering]] on [[Reinforcement Learning|reinforcement learning]] and [[Temporal Difference Learning|temporal difference learning]] in chess.
 In their experiments, they used [[Tom Kerrigan|Tom Kerrigan's]] [[TSCP|TSCP 1.811]], and trained several different chess [[Evaluation|evaluation]] functions