Artificial Intelligence
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  • evaluation function = goal state of a game
  • according to Bellman it is equal to the q-value
  • in computer chess the evaluation function is mostly handcrafted (it is an weighted feature vector)
  • in the minmax algorithm, the evaluation function determines the score of a node in the game tree
  • (Reinforcement) learning means, to learn the evaluation function
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