a Dutch computer scientist, chess player , and sales and human ressource 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 .
- 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