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Evolving the MCTS Upper Confidence Bounds for Trees Using a
  Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne

Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne

29 August 2022
Edgar Galván
G. Simpson
Fred Valdez Ameneyro
ArXivPDFHTML

Papers citing "Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne"

1 / 1 papers shown
Title
Towards Understanding the Effects of Evolving the MCTS UCT Selection
  Policy
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy
Fred Valdez Ameneyro
E. López
21
2
0
07 Feb 2023
1