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Henk Mannen,
a Dutch computer scientist, chess player [1], 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 [2].
Henk Mannen [3]

Publications

[4]

External Links


References

  1. ^ Mannen, Henk FIDE Chess Profile
  2. ^ Henk Mannen, Marco Wiering (2004). Learning to play chess using TD(λ)-learning with database games. Cognitive Artificial Intelligence, Utrecht University, Benelearn’04
  3. ^ Henk Mannen | LinkedIn
  4. ^ Marco Wiering's publications page

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