Difference between revisions of "Henk Mannen"

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Revision as of 08:57, 15 April 2021

Home * People * Henk Mannen

Henk Mannen [1]

Henk Mannen,
a Dutch computer scientist, chess player [2], 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 [3].

Publications

[4]

External Links

References

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