Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-Inspired Evolutionary Algorithm in the Game of Carcassonne.
Edgar GalvánGavin SimpsonFred Valdez AmeneyroPublished in: IEEE Trans. Games (2023)
Keyphrases
- evolutionary algorithm
- confidence bounds
- monte carlo tree search
- multi objective
- game tree
- evolutionary computation
- genetic programming
- evolution process
- monte carlo
- differential evolution
- computer games
- decision trees
- evolutionary process
- genetic algorithm
- game theory
- semantic information
- natural language
- function optimization
- video games
- evaluation function
- domain specific
- multi objective optimization
- semantic web
- mutation operator
- fitness function
- semantic features
- semantic similarity
- game play
- semantic search
- evolutionary strategy
- high level
- tree structure
- game design
- semantic knowledge
- nash equilibrium
- semantic annotation
- optimization algorithm